Overview

Dataset statistics

Number of variables223
Number of observations1925
Missing cells0
Missing cells (%)0.0%
Duplicate rows281
Duplicate rows (%)14.6%
Total size in memory3.5 MiB
Average record size in memory1.9 KiB

Variable types

NUM180
CAT38
BOOL5

Reproduction

Analysis started2021-06-04 10:54:53.661962
Analysis finished2021-06-04 10:54:56.189942
Duration2.53 seconds
Versionpandas-profiling v2.7.1
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml
Dataset has 281 (14.6%) duplicate rows Duplicates
ALBUMIN_MEDIAN has 1112 (57.8%) zeros Zeros
ALBUMIN_MEAN has 1112 (57.8%) zeros Zeros
ALBUMIN_MIN has 1112 (57.8%) zeros Zeros
ALBUMIN_MAX has 1112 (57.8%) zeros Zeros
BE_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
BE_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
BE_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
BE_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
BE_VENOUS_MEDIAN has 1104 (57.4%) zeros Zeros
BE_VENOUS_MEAN has 1104 (57.4%) zeros Zeros
BE_VENOUS_MIN has 1104 (57.4%) zeros Zeros
BE_VENOUS_MAX has 1104 (57.4%) zeros Zeros
BIC_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
BIC_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
BIC_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
BIC_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
BIC_VENOUS_MEDIAN has 1104 (57.4%) zeros Zeros
BIC_VENOUS_MEAN has 1104 (57.4%) zeros Zeros
BIC_VENOUS_MIN has 1104 (57.4%) zeros Zeros
BIC_VENOUS_MAX has 1104 (57.4%) zeros Zeros
BILLIRUBIN_MEDIAN has 1104 (57.4%) zeros Zeros
BILLIRUBIN_MEAN has 1104 (57.4%) zeros Zeros
BILLIRUBIN_MIN has 1104 (57.4%) zeros Zeros
BILLIRUBIN_MAX has 1104 (57.4%) zeros Zeros
BLAST_MEDIAN has 1104 (57.4%) zeros Zeros
BLAST_MEAN has 1104 (57.4%) zeros Zeros
BLAST_MIN has 1104 (57.4%) zeros Zeros
BLAST_MAX has 1104 (57.4%) zeros Zeros
CALCIUM_MEDIAN has 1107 (57.5%) zeros Zeros
CALCIUM_MEAN has 1107 (57.5%) zeros Zeros
CALCIUM_MIN has 1107 (57.5%) zeros Zeros
CALCIUM_MAX has 1107 (57.5%) zeros Zeros
CREATININ_MEDIAN has 1104 (57.4%) zeros Zeros
CREATININ_MEAN has 1104 (57.4%) zeros Zeros
CREATININ_MIN has 1104 (57.4%) zeros Zeros
CREATININ_MAX has 1104 (57.4%) zeros Zeros
FFA_MEDIAN has 1104 (57.4%) zeros Zeros
FFA_MEAN has 1104 (57.4%) zeros Zeros
FFA_MIN has 1104 (57.4%) zeros Zeros
FFA_MAX has 1104 (57.4%) zeros Zeros
GGT_MEDIAN has 1104 (57.4%) zeros Zeros
GGT_MEAN has 1104 (57.4%) zeros Zeros
GGT_MIN has 1104 (57.4%) zeros Zeros
GGT_MAX has 1104 (57.4%) zeros Zeros
GLUCOSE_MEDIAN has 1104 (57.4%) zeros Zeros
GLUCOSE_MEAN has 1104 (57.4%) zeros Zeros
GLUCOSE_MIN has 1104 (57.4%) zeros Zeros
GLUCOSE_MAX has 1104 (57.4%) zeros Zeros
HEMATOCRITE_MEDIAN has 1104 (57.4%) zeros Zeros
HEMATOCRITE_MEAN has 1104 (57.4%) zeros Zeros
HEMATOCRITE_MIN has 1104 (57.4%) zeros Zeros
HEMATOCRITE_MAX has 1104 (57.4%) zeros Zeros
HEMOGLOBIN_MEDIAN has 1113 (57.8%) zeros Zeros
HEMOGLOBIN_MEAN has 1113 (57.8%) zeros Zeros
HEMOGLOBIN_MIN has 1113 (57.8%) zeros Zeros
HEMOGLOBIN_MAX has 1113 (57.8%) zeros Zeros
INR_MEDIAN has 1104 (57.4%) zeros Zeros
INR_MEAN has 1104 (57.4%) zeros Zeros
INR_MIN has 1104 (57.4%) zeros Zeros
INR_MAX has 1104 (57.4%) zeros Zeros
LACTATE_MEDIAN has 1104 (57.4%) zeros Zeros
LACTATE_MEAN has 1104 (57.4%) zeros Zeros
LACTATE_MIN has 1104 (57.4%) zeros Zeros
LACTATE_MAX has 1104 (57.4%) zeros Zeros
LEUKOCYTES_MEDIAN has 1104 (57.4%) zeros Zeros
LEUKOCYTES_MEAN has 1104 (57.4%) zeros Zeros
LEUKOCYTES_MIN has 1104 (57.4%) zeros Zeros
LEUKOCYTES_MAX has 1104 (57.4%) zeros Zeros
LINFOCITOS_MEDIAN has 1104 (57.4%) zeros Zeros
LINFOCITOS_MEAN has 1104 (57.4%) zeros Zeros
LINFOCITOS_MIN has 1104 (57.4%) zeros Zeros
LINFOCITOS_MAX has 1104 (57.4%) zeros Zeros
NEUTROPHILES_MEDIAN has 1104 (57.4%) zeros Zeros
NEUTROPHILES_MEAN has 1104 (57.4%) zeros Zeros
NEUTROPHILES_MIN has 1104 (57.4%) zeros Zeros
NEUTROPHILES_MAX has 1104 (57.4%) zeros Zeros
P02_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
P02_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
P02_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
P02_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
P02_VENOUS_MEDIAN has 1104 (57.4%) zeros Zeros
P02_VENOUS_MEAN has 1104 (57.4%) zeros Zeros
P02_VENOUS_MIN has 1104 (57.4%) zeros Zeros
P02_VENOUS_MAX has 1104 (57.4%) zeros Zeros
PC02_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
PC02_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
PC02_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
PC02_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
PC02_VENOUS_MEDIAN has 1104 (57.4%) zeros Zeros
PC02_VENOUS_MEAN has 1104 (57.4%) zeros Zeros
PC02_VENOUS_MIN has 1104 (57.4%) zeros Zeros
PC02_VENOUS_MAX has 1104 (57.4%) zeros Zeros
PCR_MEDIAN has 1104 (57.4%) zeros Zeros
PCR_MEAN has 1104 (57.4%) zeros Zeros
PCR_MIN has 1104 (57.4%) zeros Zeros
PCR_MAX has 1104 (57.4%) zeros Zeros
PH_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
PH_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
PH_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
PH_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
PH_VENOUS_MEDIAN has 1106 (57.5%) zeros Zeros
PH_VENOUS_MEAN has 1106 (57.5%) zeros Zeros
PH_VENOUS_MIN has 1106 (57.5%) zeros Zeros
PH_VENOUS_MAX has 1106 (57.5%) zeros Zeros
PLATELETS_MEDIAN has 1104 (57.4%) zeros Zeros
PLATELETS_MEAN has 1104 (57.4%) zeros Zeros
PLATELETS_MIN has 1104 (57.4%) zeros Zeros
PLATELETS_MAX has 1104 (57.4%) zeros Zeros
POTASSIUM_MEDIAN has 1105 (57.4%) zeros Zeros
POTASSIUM_MEAN has 1105 (57.4%) zeros Zeros
POTASSIUM_MIN has 1105 (57.4%) zeros Zeros
POTASSIUM_MAX has 1105 (57.4%) zeros Zeros
SAT02_ARTERIAL_MEDIAN has 1104 (57.4%) zeros Zeros
SAT02_ARTERIAL_MEAN has 1104 (57.4%) zeros Zeros
SAT02_ARTERIAL_MIN has 1104 (57.4%) zeros Zeros
SAT02_ARTERIAL_MAX has 1104 (57.4%) zeros Zeros
SAT02_VENOUS_MEDIAN has 1104 (57.4%) zeros Zeros
SAT02_VENOUS_MEAN has 1104 (57.4%) zeros Zeros
SAT02_VENOUS_MIN has 1104 (57.4%) zeros Zeros
SAT02_VENOUS_MAX has 1104 (57.4%) zeros Zeros
SODIUM_MEDIAN has 1104 (57.4%) zeros Zeros
SODIUM_MEAN has 1104 (57.4%) zeros Zeros
SODIUM_MIN has 1104 (57.4%) zeros Zeros
SODIUM_MAX has 1104 (57.4%) zeros Zeros
TGO_MEDIAN has 1104 (57.4%) zeros Zeros
TGO_MEAN has 1104 (57.4%) zeros Zeros
TGO_MIN has 1104 (57.4%) zeros Zeros
TGO_MAX has 1104 (57.4%) zeros Zeros
TGP_MEDIAN has 1104 (57.4%) zeros Zeros
TGP_MEAN has 1104 (57.4%) zeros Zeros
TGP_MIN has 1104 (57.4%) zeros Zeros
TGP_MAX has 1104 (57.4%) zeros Zeros
TTPA_MEDIAN has 1104 (57.4%) zeros Zeros
TTPA_MEAN has 1104 (57.4%) zeros Zeros
TTPA_MIN has 1104 (57.4%) zeros Zeros
TTPA_MAX has 1104 (57.4%) zeros Zeros
UREA_MEDIAN has 1104 (57.4%) zeros Zeros
UREA_MEAN has 1104 (57.4%) zeros Zeros
UREA_MIN has 1104 (57.4%) zeros Zeros
UREA_MAX has 1104 (57.4%) zeros Zeros
DIMER_MEDIAN has 1104 (57.4%) zeros Zeros
DIMER_MEAN has 1104 (57.4%) zeros Zeros
DIMER_MIN has 1104 (57.4%) zeros Zeros
DIMER_MAX has 1104 (57.4%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_MEAN has 688 (35.7%) zeros Zeros
BLOODPRESSURE_SISTOLIC_MEAN has 691 (35.9%) zeros Zeros
HEART_RATE_MEAN has 685 (35.6%) zeros Zeros
RESPIRATORY_RATE_MEAN has 748 (38.9%) zeros Zeros
TEMPERATURE_MEAN has 721 (37.5%) zeros Zeros
OXYGEN_SATURATION_MEAN has 686 (35.6%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_MEDIAN has 689 (35.8%) zeros Zeros
BLOODPRESSURE_SISTOLIC_MEDIAN has 693 (36.0%) zeros Zeros
HEART_RATE_MEDIAN has 685 (35.6%) zeros Zeros
RESPIRATORY_RATE_MEDIAN has 748 (38.9%) zeros Zeros
TEMPERATURE_MEDIAN has 758 (39.4%) zeros Zeros
OXYGEN_SATURATION_MEDIAN has 686 (35.6%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_MIN has 685 (35.6%) zeros Zeros
BLOODPRESSURE_SISTOLIC_MIN has 747 (38.8%) zeros Zeros
HEART_RATE_MIN has 685 (35.6%) zeros Zeros
RESPIRATORY_RATE_MIN has 768 (39.9%) zeros Zeros
TEMPERATURE_MIN has 694 (36.1%) zeros Zeros
OXYGEN_SATURATION_MIN has 686 (35.6%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_MAX has 685 (35.6%) zeros Zeros
BLOODPRESSURE_SISTOLIC_MAX has 685 (35.6%) zeros Zeros
HEART_RATE_MAX has 698 (36.3%) zeros Zeros
RESPIRATORY_RATE_MAX has 748 (38.9%) zeros Zeros
TEMPERATURE_MAX has 694 (36.1%) zeros Zeros
OXYGEN_SATURATION_MAX has 686 (35.6%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_DIFF has 685 (35.6%) zeros Zeros
BLOODPRESSURE_SISTOLIC_DIFF has 685 (35.6%) zeros Zeros
HEART_RATE_DIFF has 685 (35.6%) zeros Zeros
RESPIRATORY_RATE_DIFF has 758 (39.4%) zeros Zeros
TEMPERATURE_DIFF has 694 (36.1%) zeros Zeros
OXYGEN_SATURATION_DIFF has 686 (35.6%) zeros Zeros
BLOODPRESSURE_DIASTOLIC_DIFF_REL has 685 (35.6%) zeros Zeros
BLOODPRESSURE_SISTOLIC_DIFF_REL has 685 (35.6%) zeros Zeros
HEART_RATE_DIFF_REL has 685 (35.6%) zeros Zeros
RESPIRATORY_RATE_DIFF_REL has 748 (38.9%) zeros Zeros
TEMPERATURE_DIFF_REL has 694 (36.1%) zeros Zeros
OXYGEN_SATURATION_DIFF_REL has 686 (35.6%) zeros Zeros

Variables

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1025
1
900
ValueCountFrequency (%) 
0 1025 53.2%
 
1 900 46.8%
 

AGE_PERCENTIL
Categorical

Distinct count10
Unique (%)0.5%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
20th
215
10th
205
30th
205
40th
200
70th
195
Other values (5)
905
ValueCountFrequency (%) 
20th 215 11.2%
 
10th 205 10.6%
 
30th 205 10.6%
 
40th 200 10.4%
 
70th 195 10.1%
 
80th 190 9.9%
 
50th 190 9.9%
 
60th 185 9.6%
 
Above 90th 185 9.6%
 
90th 155 8.1%
 

GENDER
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1215
1
710
ValueCountFrequency (%) 
0 1215 63.1%
 
1 710 36.9%
 

HTN
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1516
1
409
ValueCountFrequency (%) 
0 1516 78.8%
 
1 409 21.2%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1621
1
 
304
ValueCountFrequency (%) 
0 1621 84.2%
 
1 304 15.8%
 

OTHER
Boolean

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
1
1560
0
365
ValueCountFrequency (%) 
1 1560 81.0%
 
0 365 19.0%
 

ALBUMIN_MEDIAN
Real number (ℝ)

ZEROS
Distinct count32
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22541353383458645
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros1112
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:24:56.263222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0.6052631579

Descriptive statistics

Standard deviation0.2996085502
Coefficient of variation (CV)1.329150673
Kurtosis-1.373819375
Mean0.2254135338
Median Absolute Deviation (MAD)0
Skewness0.3610018051
Sum433.9210526
Variance0.08976528338
2021-06-04T15:24:56.363796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1112 57.8%
 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0.4736842105 7 0.4%
 
0.2631578947 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MEAN
Real number (ℝ)

ZEROS
Distinct count32
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22541353383458645
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros1112
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:24:56.479592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0.6052631579

Descriptive statistics

Standard deviation0.2996085502
Coefficient of variation (CV)1.329150673
Kurtosis-1.373819375
Mean0.2254135338
Median Absolute Deviation (MAD)0
Skewness0.3610018051
Sum433.9210526
Variance0.08976528338
2021-06-04T15:24:56.604885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1112 57.8%
 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0.4736842105 7 0.4%
 
0.2631578947 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MIN
Real number (ℝ)

ZEROS
Distinct count32
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22541353383458645
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros1112
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:24:56.715825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0.6052631579

Descriptive statistics

Standard deviation0.2996085502
Coefficient of variation (CV)1.329150673
Kurtosis-1.373819375
Mean0.2254135338
Median Absolute Deviation (MAD)0
Skewness0.3610018051
Sum433.9210526
Variance0.08976528338
2021-06-04T15:24:56.815403image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1112 57.8%
 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0.4736842105 7 0.4%
 
0.2631578947 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_MAX
Real number (ℝ)

ZEROS
Distinct count32
Unique (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22541353383458645
Minimum-0.9999999999999999
Maximum0.9999999999999996
Zeros1112
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:24:56.921298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.6052631579
95-th percentile0.6052631579
Maximum1
Range2
Interquartile range (IQR)0.6052631579

Descriptive statistics

Standard deviation0.2996085502
Coefficient of variation (CV)1.329150673
Kurtosis-1.373819375
Mean0.2254135338
Median Absolute Deviation (MAD)0
Skewness0.3610018051
Sum433.9210526
Variance0.08976528338
2021-06-04T15:24:57.024830image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1112 57.8%
 
0.6052631579 695 36.1%
 
-0.1052631579 13 0.7%
 
-0.1578947368 10 0.5%
 
0.2105263158 8 0.4%
 
0.3157894737 8 0.4%
 
0.05263157895 8 0.4%
 
0.4736842105 7 0.4%
 
0.2631578947 6 0.3%
 
0.1052631579 6 0.3%
 
Other values (22) 52 2.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8421052632 1 0.1%
 
-0.7894736842 1 0.1%
 
-0.5789473684 1 0.1%
 
-0.5263157895 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8421052632 1 0.1%
 
0.7368421053 1 0.1%
 
0.6842105263 4 0.2%
 
0.6315789474 2 0.1%
 

ALBUMIN_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BE_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count57
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4108979790263213
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:57.130137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4880400548
Coefficient of variation (CV)-1.187740217
Kurtosis-1.811989553
Mean-0.410897979
Median Absolute Deviation (MAD)0
Skewness-0.3333285177
Sum-790.9786096
Variance0.2381830951
2021-06-04T15:24:57.229749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
Other values (47) 54 2.8%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count57
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4108979790263213
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:57.335702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4880400548
Coefficient of variation (CV)-1.187740217
Kurtosis-1.811989553
Mean-0.410897979
Median Absolute Deviation (MAD)0
Skewness-0.3333285177
Sum-790.9786096
Variance0.2381830951
2021-06-04T15:24:57.439165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
Other values (47) 54 2.8%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count57
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4108979790263213
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:57.554491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4880400548
Coefficient of variation (CV)-1.187740217
Kurtosis-1.811989553
Mean-0.410897979
Median Absolute Deviation (MAD)0
Skewness-0.3333285177
Sum-790.9786096
Variance0.2381830951
2021-06-04T15:24:57.715444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
Other values (47) 54 2.8%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count57
Unique (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4108979790263213
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:57.820940image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4880400548
Coefficient of variation (CV)-1.187740217
Kurtosis-1.811989553
Mean-0.410897979
Median Absolute Deviation (MAD)0
Skewness-0.3333285177
Sum-790.9786096
Variance0.2381830951
2021-06-04T15:24:57.917540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 746 38.8%
 
-0.6898395722 3 0.2%
 
-0.7860962567 3 0.2%
 
-0.871657754 3 0.2%
 
-0.9893048128 3 0.2%
 
-0.9251336898 3 0.2%
 
-0.4973262032 2 0.1%
 
-0.8823529412 2 0.1%
 
-0.5401069519 2 0.1%
 
Other values (47) 54 2.8%
 
ValueCountFrequency (%) 
-1 746 38.8%
 
-0.9893048128 3 0.2%
 
-0.9786096257 1 0.1%
 
-0.9679144385 2 0.1%
 
-0.9572192513 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8395721925 1 0.1%
 
0.1550802139 1 0.1%
 
0.09090909091 1 0.1%
 
0.01604278075 1 0.1%
 

BE_ARTERIAL_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BE_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count64
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3971170191065479
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:58.029282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4737279755
Coefficient of variation (CV)-1.192917837
Kurtosis-1.769791852
Mean-0.3971170191
Median Absolute Deviation (MAD)0
Skewness-0.3696202635
Sum-764.4502618
Variance0.2244181947
2021-06-04T15:24:58.127928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
Other values (54) 153 7.9%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
0 1104 57.4%
 

BE_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count64
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3971170191065479
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:58.237232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4737279755
Coefficient of variation (CV)-1.192917837
Kurtosis-1.769791852
Mean-0.3971170191
Median Absolute Deviation (MAD)0
Skewness-0.3696202635
Sum-764.4502618
Variance0.2244181947
2021-06-04T15:24:58.337511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
Other values (54) 153 7.9%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
0 1104 57.4%
 

BE_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count64
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3971170191065479
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:58.447771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4737279755
Coefficient of variation (CV)-1.192917837
Kurtosis-1.769791852
Mean-0.3971170191
Median Absolute Deviation (MAD)0
Skewness-0.3696202635
Sum-764.4502618
Variance0.2244181947
2021-06-04T15:24:58.553055image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
Other values (54) 153 7.9%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
0 1104 57.4%
 

BE_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count64
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3971170191065479
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:58.658615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4737279755
Coefficient of variation (CV)-1.192917837
Kurtosis-1.769791852
Mean-0.3971170191
Median Absolute Deviation (MAD)0
Skewness-0.3696202635
Sum-764.4502618
Variance0.2244181947
2021-06-04T15:24:58.757491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 583 30.3%
 
-0.9790575916 17 0.9%
 
-0.9057591623 11 0.6%
 
-0.9267015707 11 0.6%
 
-0.9476439791 10 0.5%
 
-0.8219895288 10 0.5%
 
-0.8848167539 9 0.5%
 
-0.9162303665 9 0.5%
 
-0.8638743455 8 0.4%
 
Other values (54) 153 7.9%
 
ValueCountFrequency (%) 
-1 583 30.3%
 
-0.9895287958 4 0.2%
 
-0.9790575916 17 0.9%
 
-0.9685863874 5 0.3%
 
-0.9581151832 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3403141361 1 0.1%
 
0.2565445026 1 0.1%
 
0.1623036649 1 0.1%
 
0 1104 57.4%
 

BE_VENOUS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BIC_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13260690528983204
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:58.865390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3170731707
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1671589176
Coefficient of variation (CV)-1.260559676
Kurtosis0.5581419959
Mean-0.1326069053
Median Absolute Deviation (MAD)0
Skewness-0.3746948462
Sum-255.2682927
Variance0.02794210372
2021-06-04T15:24:58.967450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
Other values (17) 31 1.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13260690528983204
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:59.078512image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3170731707
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1671589176
Coefficient of variation (CV)-1.260559676
Kurtosis0.5581419959
Mean-0.1326069053
Median Absolute Deviation (MAD)0
Skewness-0.3746948462
Sum-255.2682927
Variance0.02794210372
2021-06-04T15:24:59.176521image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
Other values (17) 31 1.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13260690528983204
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:59.283274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3170731707
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1671589176
Coefficient of variation (CV)-1.260559676
Kurtosis0.5581419959
Mean-0.1326069053
Median Absolute Deviation (MAD)0
Skewness-0.3746948462
Sum-255.2682927
Variance0.02794210372
2021-06-04T15:24:59.381249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
Other values (17) 31 1.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 

BIC_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13260690528983204
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:59.491824image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3170731707
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1671589176
Coefficient of variation (CV)-1.260559676
Kurtosis0.5581419959
Mean-0.1326069053
Median Absolute Deviation (MAD)0
Skewness-0.3746948462
Sum-255.2682927
Variance0.02794210372
2021-06-04T15:24:59.673578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 722 37.5%
 
-0.2195121951 11 0.6%
 
-0.4634146341 10 0.5%
 
-0.4146341463 10 0.5%
 
-0.2682926829 10 0.5%
 
-0.3658536585 8 0.4%
 
-0.1219512195 7 0.4%
 
-0.1707317073 7 0.4%
 
0.07317073171 5 0.3%
 
Other values (17) 31 1.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.756097561 3 0.2%
 
-0.6585365854 4 0.2%
 
-0.6097560976 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6585365854 1 0.1%
 
0.2195121951 1 0.1%
 
0.1951219512 1 0.1%
 
0.1707317073 2 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BIC_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1329996832435857
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:59.788604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4146341463
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1726702153
Coefficient of variation (CV)-1.298275387
Kurtosis0.7523354127
Mean-0.1329996832
Median Absolute Deviation (MAD)0
Skewness-0.6454268024
Sum-256.0243902
Variance0.02981500324
2021-06-04T15:24:59.888107image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
Other values (17) 49 2.5%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1329996832435857
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:24:59.997751image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4146341463
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1726702153
Coefficient of variation (CV)-1.298275387
Kurtosis0.7523354127
Mean-0.1329996832
Median Absolute Deviation (MAD)0
Skewness-0.6454268024
Sum-256.0243902
Variance0.02981500324
2021-06-04T15:25:00.096270image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
Other values (17) 49 2.5%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1329996832435857
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:00.206295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4146341463
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1726702153
Coefficient of variation (CV)-1.298275387
Kurtosis0.7523354127
Mean-0.1329996832
Median Absolute Deviation (MAD)0
Skewness-0.6454268024
Sum-256.0243902
Variance0.02981500324
2021-06-04T15:25:00.328355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
Other values (17) 49 2.5%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1329996832435857
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:00.446559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4146341463
Q1-0.3170731707
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3170731707

Descriptive statistics

Standard deviation0.1726702153
Coefficient of variation (CV)-1.298275387
Kurtosis0.7523354127
Mean-0.1329996832
Median Absolute Deviation (MAD)0
Skewness-0.6454268024
Sum-256.0243902
Variance0.02981500324
2021-06-04T15:25:00.559732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.3170731707 524 27.2%
 
-0.2682926829 49 2.5%
 
-0.4146341463 43 2.2%
 
-0.1707317073 37 1.9%
 
-0.3658536585 36 1.9%
 
-0.2195121951 30 1.6%
 
-0.1219512195 23 1.2%
 
-0.4634146341 18 0.9%
 
-0.512195122 12 0.6%
 
Other values (17) 49 2.5%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8048780488 1 0.1%
 
-0.756097561 4 0.2%
 
-0.7073170732 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.3658536585 1 0.1%
 
0.2682926829 1 0.1%
 
0.1707317073 1 0.1%
 
0.1219512195 1 0.1%
 

BIC_VENOUS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BILLIRUBIN_MEDIAN
Real number (ℝ)

ZEROS
Distinct count96
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4034319422074525
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:00.682873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9790685505
Q1-0.9389499389
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9389499389

Descriptive statistics

Standard deviation0.4706114995
Coefficient of variation (CV)-1.166520174
Kurtosis-1.870726763
Mean-0.4034319422
Median Absolute Deviation (MAD)0
Skewness-0.293139913
Sum-776.6064887
Variance0.2214751835
2021-06-04T15:25:00.789414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
Other values (86) 303 15.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 

BILLIRUBIN_MEAN
Real number (ℝ)

ZEROS
Distinct count96
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4034319422074525
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:01.040428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9790685505
Q1-0.9389499389
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9389499389

Descriptive statistics

Standard deviation0.4706114995
Coefficient of variation (CV)-1.166520174
Kurtosis-1.870726763
Mean-0.4034319422
Median Absolute Deviation (MAD)0
Skewness-0.293139913
Sum-776.6064887
Variance0.2214751835
2021-06-04T15:25:01.213389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
Other values (86) 303 15.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 

BILLIRUBIN_MIN
Real number (ℝ)

ZEROS
Distinct count96
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4034319422074525
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:01.529485image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9790685505
Q1-0.9389499389
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9389499389

Descriptive statistics

Standard deviation0.4706114995
Coefficient of variation (CV)-1.166520174
Kurtosis-1.870726763
Mean-0.4034319422
Median Absolute Deviation (MAD)0
Skewness-0.293139913
Sum-776.6064887
Variance0.2214751835
2021-06-04T15:25:01.694654image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
Other values (86) 303 15.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 

BILLIRUBIN_MAX
Real number (ℝ)

ZEROS
Distinct count96
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4034319422074525
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:01.842099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9790685505
Q1-0.9389499389
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9389499389

Descriptive statistics

Standard deviation0.4706114995
Coefficient of variation (CV)-1.166520174
Kurtosis-1.870726763
Mean-0.4034319422
Median Absolute Deviation (MAD)0
Skewness-0.293139913
Sum-776.6064887
Variance0.2214751835
2021-06-04T15:25:01.940515image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9389499389 423 22.0%
 
-0.9790685505 16 0.8%
 
-0.9822082679 13 0.7%
 
-0.980115123 12 0.6%
 
-0.9717425432 11 0.6%
 
-0.9696493982 11 0.6%
 
-0.9811616954 11 0.6%
 
-0.9654631083 11 0.6%
 
-0.9665096808 10 0.5%
 
Other values (86) 303 15.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9947671376 2 0.1%
 
-0.9937205651 1 0.1%
 
-0.9926739927 3 0.2%
 
-0.9916274202 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2935635793 1 0.1%
 
-0.6640502355 1 0.1%
 
-0.7341705913 1 0.1%
 

BILLIRUBIN_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BLAST_MEDIAN
Real number (ℝ)

ZEROS
Distinct count9
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42411523117405475
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:02.049200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4960799908
Coefficient of variation (CV)-1.169682092
Kurtosis-1.8589424
Mean-0.4241152312
Median Absolute Deviation (MAD)0
Skewness-0.2827419369
Sum-816.42182
Variance0.2460953573
2021-06-04T15:25:02.156539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
0 1104 57.4%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 

BLAST_MEAN
Real number (ℝ)

ZEROS
Distinct count9
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42411523117405475
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:02.273424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4960799908
Coefficient of variation (CV)-1.169682092
Kurtosis-1.8589424
Mean-0.4241152312
Median Absolute Deviation (MAD)0
Skewness-0.2827419369
Sum-816.42182
Variance0.2460953573
2021-06-04T15:25:02.376508image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
0 1104 57.4%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 

BLAST_MIN
Real number (ℝ)

ZEROS
Distinct count9
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42411523117405475
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:02.485921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4960799908
Coefficient of variation (CV)-1.169682092
Kurtosis-1.8589424
Mean-0.4241152312
Median Absolute Deviation (MAD)0
Skewness-0.2827419369
Sum-816.42182
Variance0.2460953573
2021-06-04T15:25:02.690116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
0 1104 57.4%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 

BLAST_MAX
Real number (ℝ)

ZEROS
Distinct count9
Unique (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42411523117405475
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:02.806387image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4960799908
Coefficient of variation (CV)-1.169682092
Kurtosis-1.8589424
Mean-0.4241152312
Median Absolute Deviation (MAD)0
Skewness-0.2827419369
Sum-816.42182
Variance0.2460953573
2021-06-04T15:25:02.944144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 814 42.3%
 
-0.9607843137 1 0.1%
 
0.939668175 1 0.1%
 
-0.7496229261 1 0.1%
 
-0.920563097 1 0.1%
 
-0.9909502262 1 0.1%
 
-0.7395676219 1 0.1%
 
1 1 0.1%
 
ValueCountFrequency (%) 
-1 814 42.3%
 
-0.9909502262 1 0.1%
 
-0.9607843137 1 0.1%
 
-0.920563097 1 0.1%
 
-0.7496229261 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.939668175 1 0.1%
 
0 1104 57.4%
 
-0.7395676219 1 0.1%
 
-0.7496229261 1 0.1%
 

BLAST_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

CALCIUM_MEDIAN
Real number (ℝ)

ZEROS
Distinct count48
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14089583885502238
Minimum-1.0
Maximum0.9999999999999996
Zeros1107
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:03.079913image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3571428571
95-th percentile0.4081632653
Maximum1
Range2
Interquartile range (IQR)0.3571428571

Descriptive statistics

Standard deviation0.1830266026
Coefficient of variation (CV)1.299020639
Kurtosis0.06531007511
Mean0.1408958389
Median Absolute Deviation (MAD)0
Skewness0.5666865491
Sum271.2244898
Variance0.03349873727
2021-06-04T15:25:03.195950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1107 57.5%
 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
Other values (38) 216 11.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MEAN
Real number (ℝ)

ZEROS
Distinct count48
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14089583885502238
Minimum-1.0
Maximum0.9999999999999996
Zeros1107
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:03.335688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3571428571
95-th percentile0.4081632653
Maximum1
Range2
Interquartile range (IQR)0.3571428571

Descriptive statistics

Standard deviation0.1830266026
Coefficient of variation (CV)1.299020639
Kurtosis0.06531007511
Mean0.1408958389
Median Absolute Deviation (MAD)0
Skewness0.5666865491
Sum271.2244898
Variance0.03349873727
2021-06-04T15:25:03.478403image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1107 57.5%
 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
Other values (38) 216 11.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MIN
Real number (ℝ)

ZEROS
Distinct count48
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14089583885502238
Minimum-1.0
Maximum0.9999999999999996
Zeros1107
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:03.618423image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3571428571
95-th percentile0.4081632653
Maximum1
Range2
Interquartile range (IQR)0.3571428571

Descriptive statistics

Standard deviation0.1830266026
Coefficient of variation (CV)1.299020639
Kurtosis0.06531007511
Mean0.1408958389
Median Absolute Deviation (MAD)0
Skewness0.5666865491
Sum271.2244898
Variance0.03349873727
2021-06-04T15:25:03.747249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1107 57.5%
 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
Other values (38) 216 11.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_MAX
Real number (ℝ)

ZEROS
Distinct count48
Unique (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14089583885502238
Minimum-1.0
Maximum0.9999999999999996
Zeros1107
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:03.868035image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3571428571
95-th percentile0.4081632653
Maximum1
Range2
Interquartile range (IQR)0.3571428571

Descriptive statistics

Standard deviation0.1830266026
Coefficient of variation (CV)1.299020639
Kurtosis0.06531007511
Mean0.1408958389
Median Absolute Deviation (MAD)0
Skewness0.5666865491
Sum271.2244898
Variance0.03349873727
2021-06-04T15:25:04.037095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1107 57.5%
 
0.3571428571 403 20.9%
 
0.3673469388 27 1.4%
 
0.306122449 27 1.4%
 
0.4081632653 26 1.4%
 
0.3469387755 26 1.4%
 
0.2244897959 26 1.4%
 
0.3265306122 25 1.3%
 
0.1428571429 21 1.1%
 
0.2448979592 21 1.1%
 
Other values (38) 216 11.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5306122449 1 0.1%
 
-0.1632653061 2 0.1%
 
-0.1224489796 2 0.1%
 
-0.1020408163 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8979591837 1 0.1%
 
0.8367346939 1 0.1%
 
0.7346938776 1 0.1%
 
0.7142857143 1 0.1%
 

CALCIUM_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

CREATININ_MEDIAN
Real number (ℝ)

ZEROS
Distinct count159
Unique (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.38003882142189693
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:04.158187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9447983015
Q1-0.9079971691
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9079971691

Descriptive statistics

Standard deviation0.4472589771
Coefficient of variation (CV)-1.176877077
Kurtosis-1.826953522
Mean-0.3800388214
Median Absolute Deviation (MAD)0
Skewness-0.3156246421
Sum-731.5747312
Variance0.2000405926
2021-06-04T15:25:04.270116image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
Other values (149) 616 32.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
0 1104 57.4%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 

CREATININ_MEAN
Real number (ℝ)

ZEROS
Distinct count159
Unique (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.38003882142189693
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:04.396489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9447983015
Q1-0.9079971691
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9079971691

Descriptive statistics

Standard deviation0.4472589771
Coefficient of variation (CV)-1.176877077
Kurtosis-1.826953522
Mean-0.3800388214
Median Absolute Deviation (MAD)0
Skewness-0.3156246421
Sum-731.5747312
Variance0.2000405926
2021-06-04T15:25:04.543175image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
Other values (149) 616 32.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
0 1104 57.4%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 

CREATININ_MIN
Real number (ℝ)

ZEROS
Distinct count159
Unique (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.38003882142189693
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:04.674526image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9447983015
Q1-0.9079971691
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9079971691

Descriptive statistics

Standard deviation0.4472589771
Coefficient of variation (CV)-1.176877077
Kurtosis-1.826953522
Mean-0.3800388214
Median Absolute Deviation (MAD)0
Skewness-0.3156246421
Sum-731.5747312
Variance0.2000405926
2021-06-04T15:25:04.799936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
Other values (149) 616 32.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
0 1104 57.4%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 

CREATININ_MAX
Real number (ℝ)

ZEROS
Distinct count159
Unique (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.38003882142189693
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:04.918346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9447983015
Q1-0.9079971691
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9079971691

Descriptive statistics

Standard deviation0.4472589771
Coefficient of variation (CV)-1.176877077
Kurtosis-1.826953522
Mean-0.3800388214
Median Absolute Deviation (MAD)0
Skewness-0.3156246421
Sum-731.5747312
Variance0.2000405926
2021-06-04T15:25:05.064273image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9084015772 69 3.6%
 
-0.9263977353 20 1.0%
 
-0.932059448 18 0.9%
 
-0.9249823071 18 0.9%
 
-0.9122434536 18 0.9%
 
-0.9051663128 17 0.9%
 
-0.9136588818 16 0.8%
 
-0.923566879 15 0.8%
 
-0.9363057325 14 0.7%
 
Other values (149) 616 32.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9929228592 1 0.1%
 
-0.9844302902 1 0.1%
 
-0.9787685775 1 0.1%
 
-0.974522293 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4932767162 1 0.1%
 
0 1104 57.4%
 
-0.02760084926 1 0.1%
 
-0.1818825195 1 0.1%
 

CREATININ_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

FFA_MEDIAN
Real number (ℝ)

ZEROS
Distinct count120
Unique (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30844737352200036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:05.177471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8166311301
Q1-0.7420042644
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7420042644

Descriptive statistics

Standard deviation0.3748320021
Coefficient of variation (CV)-1.215221896
Kurtosis-1.682637185
Mean-0.3084473735
Median Absolute Deviation (MAD)0
Skewness-0.3348224384
Sum-593.761194
Variance0.1404990298
2021-06-04T15:25:05.277227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
Other values (110) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MEAN
Real number (ℝ)

ZEROS
Distinct count120
Unique (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30844737352200036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:05.384165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8166311301
Q1-0.7420042644
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7420042644

Descriptive statistics

Standard deviation0.3748320021
Coefficient of variation (CV)-1.215221896
Kurtosis-1.682637185
Mean-0.3084473735
Median Absolute Deviation (MAD)0
Skewness-0.3348224384
Sum-593.761194
Variance0.1404990298
2021-06-04T15:25:05.494536image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
Other values (110) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MIN
Real number (ℝ)

ZEROS
Distinct count120
Unique (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30844737352200036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:05.602714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8166311301
Q1-0.7420042644
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7420042644

Descriptive statistics

Standard deviation0.3748320021
Coefficient of variation (CV)-1.215221896
Kurtosis-1.682637185
Mean-0.3084473735
Median Absolute Deviation (MAD)0
Skewness-0.3348224384
Sum-593.761194
Variance0.1404990298
2021-06-04T15:25:05.704916image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
Other values (110) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_MAX
Real number (ℝ)

ZEROS
Distinct count120
Unique (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30844737352200036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:05.814030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8166311301
Q1-0.7420042644
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7420042644

Descriptive statistics

Standard deviation0.3748320021
Coefficient of variation (CV)-1.215221896
Kurtosis-1.682637185
Mean-0.3084473735
Median Absolute Deviation (MAD)0
Skewness-0.3348224384
Sum-593.761194
Variance0.1404990298
2021-06-04T15:25:05.913718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7420042644 531 27.6%
 
-0.829424307 10 0.5%
 
-0.7441364606 8 0.4%
 
-0.7484008529 7 0.4%
 
-0.7782515991 7 0.4%
 
-0.8038379531 7 0.4%
 
-0.8464818763 7 0.4%
 
-0.7910447761 6 0.3%
 
-0.7739872068 6 0.3%
 
Other values (110) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9573560768 2 0.1%
 
-0.9360341151 1 0.1%
 
-0.9317697228 1 0.1%
 
-0.9275053305 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6886993603 1 0.1%
 
0.6801705757 1 0.1%
 
0.4882729211 1 0.1%
 
0.4797441365 1 0.1%
 

FFA_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

GGT_MEDIAN
Real number (ℝ)

ZEROS
Distinct count176
Unique (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.392545818667314
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:06.023726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9707943925
Q1-0.9585280374
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9585280374

Descriptive statistics

Standard deviation0.4660544706
Coefficient of variation (CV)-1.18726133
Kurtosis-1.808995098
Mean-0.3925458187
Median Absolute Deviation (MAD)0
Skewness-0.3293244838
Sum-755.6507009
Variance0.2172067695
2021-06-04T15:25:06.261942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
Other values (166) 287 14.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MEAN
Real number (ℝ)

ZEROS
Distinct count176
Unique (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.392545818667314
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:06.371303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9707943925
Q1-0.9585280374
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9585280374

Descriptive statistics

Standard deviation0.4660544706
Coefficient of variation (CV)-1.18726133
Kurtosis-1.808995098
Mean-0.3925458187
Median Absolute Deviation (MAD)0
Skewness-0.3293244838
Sum-755.6507009
Variance0.2172067695
2021-06-04T15:25:06.471290image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
Other values (166) 287 14.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MIN
Real number (ℝ)

ZEROS
Distinct count176
Unique (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.392545818667314
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:06.589364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9707943925
Q1-0.9585280374
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9585280374

Descriptive statistics

Standard deviation0.4660544706
Coefficient of variation (CV)-1.18726133
Kurtosis-1.808995098
Mean-0.3925458187
Median Absolute Deviation (MAD)0
Skewness-0.3293244838
Sum-755.6507009
Variance0.2172067695
2021-06-04T15:25:06.688946image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
Other values (166) 287 14.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_MAX
Real number (ℝ)

ZEROS
Distinct count176
Unique (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.392545818667314
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:06.796421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9707943925
Q1-0.9585280374
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9585280374

Descriptive statistics

Standard deviation0.4660544706
Coefficient of variation (CV)-1.18726133
Kurtosis-1.808995098
Mean-0.3925458187
Median Absolute Deviation (MAD)0
Skewness-0.3293244838
Sum-755.6507009
Variance0.2172067695
2021-06-04T15:25:06.899211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9585280374 480 24.9%
 
-0.9848130841 10 0.5%
 
-0.9871495327 9 0.5%
 
-0.9918224299 8 0.4%
 
-0.9836448598 6 0.3%
 
-0.988317757 6 0.3%
 
-0.9544392523 5 0.3%
 
-0.9731308411 5 0.3%
 
-0.9906542056 5 0.3%
 
Other values (166) 287 14.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9976635514 2 0.1%
 
-0.9964953271 1 0.1%
 
-0.9953271028 1 0.1%
 
-0.9941588785 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7184579439 1 0.1%
 
0.3002336449 1 0.1%
 
0.2523364486 1 0.1%
 
0.1086448598 1 0.1%
 

GGT_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

GLUCOSE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count83
Unique (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3675068320878377
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:07.037004image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8919925512

Descriptive statistics

Standard deviation0.4329225301
Coefficient of variation (CV)-1.17799859
Kurtosis-1.822496571
Mean-0.3675068321
Median Absolute Deviation (MAD)0
Skewness-0.3176969915
Sum-707.4506518
Variance0.187421917
2021-06-04T15:25:07.149008image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
Other values (73) 153 7.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
0 1104 57.4%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 

GLUCOSE_MEAN
Real number (ℝ)

ZEROS
Distinct count83
Unique (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3675068320878377
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:07.275435image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8919925512

Descriptive statistics

Standard deviation0.4329225301
Coefficient of variation (CV)-1.17799859
Kurtosis-1.822496571
Mean-0.3675068321
Median Absolute Deviation (MAD)0
Skewness-0.3176969915
Sum-707.4506518
Variance0.187421917
2021-06-04T15:25:07.390410image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
Other values (73) 153 7.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
0 1104 57.4%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 

GLUCOSE_MIN
Real number (ℝ)

ZEROS
Distinct count83
Unique (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3675068320878377
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:07.557269image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8919925512

Descriptive statistics

Standard deviation0.4329225301
Coefficient of variation (CV)-1.17799859
Kurtosis-1.822496571
Mean-0.3675068321
Median Absolute Deviation (MAD)0
Skewness-0.3176969915
Sum-707.4506518
Variance0.187421917
2021-06-04T15:25:07.664375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
Other values (73) 153 7.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
0 1104 57.4%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 

GLUCOSE_MAX
Real number (ℝ)

ZEROS
Distinct count83
Unique (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3675068320878377
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:07.779168image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8919925512
Q1-0.8919925512
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8919925512

Descriptive statistics

Standard deviation0.4329225301
Coefficient of variation (CV)-1.17799859
Kurtosis-1.822496571
Mean-0.3675068321
Median Absolute Deviation (MAD)0
Skewness-0.3176969915
Sum-707.4506518
Variance0.187421917
2021-06-04T15:25:07.883934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8919925512 611 31.7%
 
-0.843575419 9 0.5%
 
-0.8770949721 9 0.5%
 
-0.8510242086 8 0.4%
 
-0.8733705773 7 0.4%
 
-0.8100558659 6 0.3%
 
-0.8137802607 6 0.3%
 
-0.8584729981 6 0.3%
 
-0.8696461825 6 0.3%
 
Other values (73) 153 7.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9590316574 1 0.1%
 
-0.9366852886 1 0.1%
 
-0.9329608939 2 0.1%
 
-0.9292364991 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4525139665 1 0.1%
 
0 1104 57.4%
 
-0.1918063315 1 0.1%
 
-0.199255121 1 0.1%
 

GLUCOSE_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

HEMATOCRITE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count236
Unique (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06858776443682094
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:08.013006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4381551363
Q1-0.08176100629
median0
Q30
95-th percentile0.08595387841
Maximum1
Range2
Interquartile range (IQR)0.08176100629

Descriptive statistics

Standard deviation0.1748660979
Coefficient of variation (CV)-2.549523218
Kurtosis5.597793128
Mean-0.06858776444
Median Absolute Deviation (MAD)0
Skewness-1.677240044
Sum-132.0314465
Variance0.03057815219
2021-06-04T15:25:08.151221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
Other values (226) 698 36.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MEAN
Real number (ℝ)

ZEROS
Distinct count236
Unique (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06858776443682094
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:08.264287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4381551363
Q1-0.08176100629
median0
Q30
95-th percentile0.08595387841
Maximum1
Range2
Interquartile range (IQR)0.08176100629

Descriptive statistics

Standard deviation0.1748660979
Coefficient of variation (CV)-2.549523218
Kurtosis5.597793128
Mean-0.06858776444
Median Absolute Deviation (MAD)0
Skewness-1.677240044
Sum-132.0314465
Variance0.03057815219
2021-06-04T15:25:08.384933image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
Other values (226) 698 36.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MIN
Real number (ℝ)

ZEROS
Distinct count236
Unique (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06858776443682094
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:08.493565image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4381551363
Q1-0.08176100629
median0
Q30
95-th percentile0.08595387841
Maximum1
Range2
Interquartile range (IQR)0.08176100629

Descriptive statistics

Standard deviation0.1748660979
Coefficient of variation (CV)-2.549523218
Kurtosis5.597793128
Mean-0.06858776444
Median Absolute Deviation (MAD)0
Skewness-1.677240044
Sum-132.0314465
Variance0.03057815219
2021-06-04T15:25:08.606871image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
Other values (226) 698 36.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_MAX
Real number (ℝ)

ZEROS
Distinct count236
Unique (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06858776443682094
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:08.736256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4381551363
Q1-0.08176100629
median0
Q30
95-th percentile0.08595387841
Maximum1
Range2
Interquartile range (IQR)0.08176100629

Descriptive statistics

Standard deviation0.1748660979
Coefficient of variation (CV)-2.549523218
Kurtosis5.597793128
Mean-0.06858776444
Median Absolute Deviation (MAD)0
Skewness-1.677240044
Sum-132.0314465
Variance0.03057815219
2021-06-04T15:25:08.838027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.002096436059 41 2.1%
 
-0.249475891 13 0.7%
 
-0.06918238994 12 0.6%
 
-0.04402515723 10 0.5%
 
-0.1404612159 10 0.5%
 
-0.07756813417 10 0.5%
 
-0.05241090147 9 0.5%
 
-0.03983228512 9 0.5%
 
-0.1320754717 9 0.5%
 
Other values (226) 698 36.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9454926625 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8700209644 1 0.1%
 
-0.8532494759 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8113207547 1 0.1%
 
0.5303983229 1 0.1%
 
0.3878406709 1 0.1%
 
0.3836477987 1 0.1%
 

HEMATOCRITE_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

HEMOGLOBIN_MEDIAN
Real number (ℝ)

ZEROS
Distinct count117
Unique (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08635298182970018
Minimum-1.0
Maximum1.0
Zeros1113
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:25:08.945965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5097560976
Q1-0.1341463415
median0
Q30
95-th percentile0.06097560976
Maximum1
Range2
Interquartile range (IQR)0.1341463415

Descriptive statistics

Standard deviation0.193503035
Coefficient of variation (CV)-2.240837906
Kurtosis4.531656783
Mean-0.08635298183
Median Absolute Deviation (MAD)0
Skewness-1.721051866
Sum-166.22949
Variance0.03744342456
2021-06-04T15:25:09.050303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1113 57.8%
 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.1585365854 18 0.9%
 
-0.0487804878 18 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 612 31.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MEAN
Real number (ℝ)

ZEROS
Distinct count117
Unique (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08635298182970018
Minimum-1.0
Maximum1.0
Zeros1113
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:25:09.159603image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5097560976
Q1-0.1341463415
median0
Q30
95-th percentile0.06097560976
Maximum1
Range2
Interquartile range (IQR)0.1341463415

Descriptive statistics

Standard deviation0.193503035
Coefficient of variation (CV)-2.240837906
Kurtosis4.531656783
Mean-0.08635298183
Median Absolute Deviation (MAD)0
Skewness-1.721051866
Sum-166.22949
Variance0.03744342456
2021-06-04T15:25:09.259732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1113 57.8%
 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.1585365854 18 0.9%
 
-0.0487804878 18 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 612 31.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MIN
Real number (ℝ)

ZEROS
Distinct count117
Unique (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08635298182970018
Minimum-1.0
Maximum1.0
Zeros1113
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:25:09.369392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5097560976
Q1-0.1341463415
median0
Q30
95-th percentile0.06097560976
Maximum1
Range2
Interquartile range (IQR)0.1341463415

Descriptive statistics

Standard deviation0.193503035
Coefficient of variation (CV)-2.240837906
Kurtosis4.531656783
Mean-0.08635298183
Median Absolute Deviation (MAD)0
Skewness-1.721051866
Sum-166.22949
Variance0.03744342456
2021-06-04T15:25:09.472625image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1113 57.8%
 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.1585365854 18 0.9%
 
-0.0487804878 18 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 612 31.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_MAX
Real number (ℝ)

ZEROS
Distinct count117
Unique (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08635298182970018
Minimum-1.0
Maximum1.0
Zeros1113
Zeros (%)57.8%
Memory size15.2 KiB
2021-06-04T15:25:09.591072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5097560976
Q1-0.1341463415
median0
Q30
95-th percentile0.06097560976
Maximum1
Range2
Interquartile range (IQR)0.1341463415

Descriptive statistics

Standard deviation0.193503035
Coefficient of variation (CV)-2.240837906
Kurtosis4.531656783
Mean-0.08635298183
Median Absolute Deviation (MAD)0
Skewness-1.721051866
Sum-166.22949
Variance0.03744342456
2021-06-04T15:25:09.692213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1113 57.8%
 
0.0199556541 38 2.0%
 
-0.1829268293 30 1.6%
 
-0.1707317073 21 1.1%
 
-0.2682926829 20 1.0%
 
-0.2926829268 19 1.0%
 
-0.2317073171 19 1.0%
 
-0.1585365854 18 0.9%
 
-0.0487804878 18 0.9%
 
-0.1463414634 17 0.9%
 
Other values (107) 612 31.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.987804878 1 0.1%
 
-0.9512195122 2 0.1%
 
-0.9146341463 2 0.1%
 
-0.9024390244 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8048780488 1 0.1%
 
0.4634146341 1 0.1%
 
0.3536585366 1 0.1%
 
0.3414634146 1 0.1%
 

HEMOGLOBIN_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

INR_MEDIAN
Real number (ℝ)

ZEROS
Distinct count29
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3996030569179879
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:09.803163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9598494354

Descriptive statistics

Standard deviation0.4669029395
Coefficient of variation (CV)-1.168416836
Kurtosis-1.859670489
Mean-0.3996030569
Median Absolute Deviation (MAD)0
Skewness-0.3002768851
Sum-769.2358846
Variance0.2179983549
2021-06-04T15:25:09.901309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
Other values (19) 39 2.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 

INR_MEAN
Real number (ℝ)

ZEROS
Distinct count29
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3996030569179879
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:10.008551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9598494354

Descriptive statistics

Standard deviation0.4669029395
Coefficient of variation (CV)-1.168416836
Kurtosis-1.859670489
Mean-0.3996030569
Median Absolute Deviation (MAD)0
Skewness-0.3002768851
Sum-769.2358846
Variance0.2179983549
2021-06-04T15:25:10.293490image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
Other values (19) 39 2.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 

INR_MIN
Real number (ℝ)

ZEROS
Distinct count29
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3996030569179879
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:10.400753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9598494354

Descriptive statistics

Standard deviation0.4669029395
Coefficient of variation (CV)-1.168416836
Kurtosis-1.859670489
Mean-0.3996030569
Median Absolute Deviation (MAD)0
Skewness-0.3002768851
Sum-769.2358846
Variance0.2179983549
2021-06-04T15:25:10.498313image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
Other values (19) 39 2.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 

INR_MAX
Real number (ℝ)

ZEROS
Distinct count29
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3996030569179879
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:10.610479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9598494354
Q1-0.9598494354
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9598494354

Descriptive statistics

Standard deviation0.4669029395
Coefficient of variation (CV)-1.168416836
Kurtosis-1.859670489
Mean-0.3996030569
Median Absolute Deviation (MAD)0
Skewness-0.3002768851
Sum-769.2358846
Variance0.2179983549
2021-06-04T15:25:10.709748image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9598494354 464 24.1%
 
-0.9322459222 128 6.6%
 
-0.9071518193 73 3.8%
 
-0.9573400251 60 3.1%
 
-0.8820577164 23 1.2%
 
-0.8569636136 12 0.6%
 
-0.8318695107 8 0.4%
 
-0.964868256 8 0.4%
 
-0.8067754078 6 0.3%
 
Other values (19) 39 2.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9874529486 1 0.1%
 
-0.9849435383 1 0.1%
 
-0.982434128 2 0.1%
 
-0.9799247177 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3299874529 1 0.1%
 
-0.3550815558 1 0.1%
 
-0.530740276 1 0.1%
 

INR_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

LACTATE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count148
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11392978120801082
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:10.817328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9403536977
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61724392
Coefficient of variation (CV)5.417757442
Kurtosis-0.6713016313
Mean0.1139297812
Median Absolute Deviation (MAD)0
Skewness0.03558405752
Sum219.3148288
Variance0.3809900568
2021-06-04T15:25:10.915444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
Other values (138) 246 12.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
0 1104 57.4%
 
-0.04242586638 1 0.1%
 

LACTATE_MEAN
Real number (ℝ)

ZEROS
Distinct count148
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11392978120801082
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:11.020906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9403536977
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61724392
Coefficient of variation (CV)5.417757442
Kurtosis-0.6713016313
Mean0.1139297812
Median Absolute Deviation (MAD)0
Skewness0.03558405752
Sum219.3148288
Variance0.3809900568
2021-06-04T15:25:11.127878image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
Other values (138) 246 12.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
0 1104 57.4%
 
-0.04242586638 1 0.1%
 

LACTATE_MIN
Real number (ℝ)

ZEROS
Distinct count148
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11392978120801082
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:11.233244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9403536977
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61724392
Coefficient of variation (CV)5.417757442
Kurtosis-0.6713016313
Mean0.1139297812
Median Absolute Deviation (MAD)0
Skewness0.03558405752
Sum219.3148288
Variance0.3809900568
2021-06-04T15:25:11.331408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
Other values (138) 246 12.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
0 1104 57.4%
 
-0.04242586638 1 0.1%
 

LACTATE_MAX
Real number (ℝ)

ZEROS
Distinct count148
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.11392978120801082
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:11.438352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9403536977
Q10
median0
Q31
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.61724392
Coefficient of variation (CV)5.417757442
Kurtosis-0.6713016313
Mean0.1139297812
Median Absolute Deviation (MAD)0
Skewness0.03558405752
Sum219.3148288
Variance0.3809900568
2021-06-04T15:25:11.535953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
1 502 26.1%
 
-0.8977733644 14 0.7%
 
-0.9093321144 11 0.6%
 
-0.9324496144 10 0.5%
 
-0.8630971145 9 0.5%
 
-0.8862146145 8 0.4%
 
-0.8746558645 8 0.4%
 
-0.8284208646 7 0.4%
 
-0.9606109325 6 0.3%
 
Other values (138) 246 12.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9927652733 1 0.1%
 
-0.9871382637 1 0.1%
 
-0.9839228296 1 0.1%
 
-0.9823151125 2 0.1%
 
ValueCountFrequency (%) 
1 502 26.1%
 
0.3802250804 1 0.1%
 
0.006698821008 1 0.1%
 
0 1104 57.4%
 
-0.04242586638 1 0.1%
 

LACTATE_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

LEUKOCYTES_MEDIAN
Real number (ℝ)

ZEROS
Distinct count527
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31614492884481293
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:11.649554image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8611819235
Q1-0.7481653148
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7481653148

Descriptive statistics

Standard deviation0.379398975
Coefficient of variation (CV)-1.200079269
Kurtosis-1.657463095
Mean-0.3161449288
Median Absolute Deviation (MAD)0
Skewness-0.4028080138
Sum-608.578988
Variance0.1439435822
2021-06-04T15:25:11.748859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
Other values (517) 737 38.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
0 1104 57.4%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 

LEUKOCYTES_MEAN
Real number (ℝ)

ZEROS
Distinct count527
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31614492884481293
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:11.856966image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8611819235
Q1-0.7481653148
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7481653148

Descriptive statistics

Standard deviation0.379398975
Coefficient of variation (CV)-1.200079269
Kurtosis-1.657463095
Mean-0.3161449288
Median Absolute Deviation (MAD)0
Skewness-0.4028080138
Sum-608.578988
Variance0.1439435822
2021-06-04T15:25:11.958150image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
Other values (517) 737 38.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
0 1104 57.4%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 

LEUKOCYTES_MIN
Real number (ℝ)

ZEROS
Distinct count527
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31614492884481293
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:12.067778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8611819235
Q1-0.7481653148
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7481653148

Descriptive statistics

Standard deviation0.379398975
Coefficient of variation (CV)-1.200079269
Kurtosis-1.657463095
Mean-0.3161449288
Median Absolute Deviation (MAD)0
Skewness-0.4028080138
Sum-608.578988
Variance0.1439435822
2021-06-04T15:25:12.165333image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
Other values (517) 737 38.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
0 1104 57.4%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 

LEUKOCYTES_MAX
Real number (ℝ)

ZEROS
Distinct count527
Unique (%)27.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31614492884481293
Minimum-0.9999999999999999
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:12.270709image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8611819235
Q1-0.7481653148
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7481653148

Descriptive statistics

Standard deviation0.379398975
Coefficient of variation (CV)-1.200079269
Kurtosis-1.657463095
Mean-0.3161449288
Median Absolute Deviation (MAD)0
Skewness-0.4028080138
Sum-608.578988
Variance0.1439435822
2021-06-04T15:25:12.370683image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7350328312 48 2.5%
 
-0.7860177675 5 0.3%
 
-0.8061027424 5 0.3%
 
-0.843182696 5 0.3%
 
-0.7829277713 5 0.3%
 
-0.8146002317 4 0.2%
 
-0.83198146 4 0.2%
 
-0.8049439938 4 0.2%
 
-0.7763615295 4 0.2%
 
Other values (517) 737 38.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9984550019 1 0.1%
 
-0.9528775589 1 0.1%
 
-0.9505600618 1 0.1%
 
-0.944766319 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.02124372345 1 0.1%
 
0 1104 57.4%
 
-0.02047122441 1 0.1%
 
-0.02587871765 1 0.1%
 

LEUKOCYTES_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

LINFOCITOS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count273
Unique (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30297666648703997
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:12.480645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8755186722
Q1-0.6970954357
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.6970954357

Descriptive statistics

Standard deviation0.3681040451
Coefficient of variation (CV)-1.214958397
Kurtosis-1.519742234
Mean-0.3029766665
Median Absolute Deviation (MAD)0
Skewness-0.4661158023
Sum-583.230083
Variance0.135500588
2021-06-04T15:25:12.584584image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
Other values (263) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
0 1104 57.4%
 
-0.1078838174 1 0.1%
 

LINFOCITOS_MEAN
Real number (ℝ)

ZEROS
Distinct count273
Unique (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30297666648703997
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:12.696390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8755186722
Q1-0.6970954357
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.6970954357

Descriptive statistics

Standard deviation0.3681040451
Coefficient of variation (CV)-1.214958397
Kurtosis-1.519742234
Mean-0.3029766665
Median Absolute Deviation (MAD)0
Skewness-0.4661158023
Sum-583.230083
Variance0.135500588
2021-06-04T15:25:12.797086image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
Other values (263) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
0 1104 57.4%
 
-0.1078838174 1 0.1%
 

LINFOCITOS_MIN
Real number (ℝ)

ZEROS
Distinct count273
Unique (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30297666648703997
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:12.905361image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8755186722
Q1-0.6970954357
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.6970954357

Descriptive statistics

Standard deviation0.3681040451
Coefficient of variation (CV)-1.214958397
Kurtosis-1.519742234
Mean-0.3029766665
Median Absolute Deviation (MAD)0
Skewness-0.4661158023
Sum-583.230083
Variance0.135500588
2021-06-04T15:25:13.004339image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
Other values (263) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
0 1104 57.4%
 
-0.1078838174 1 0.1%
 

LINFOCITOS_MAX
Real number (ℝ)

ZEROS
Distinct count273
Unique (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.30297666648703997
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:13.120844image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8755186722
Q1-0.6970954357
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.6970954357

Descriptive statistics

Standard deviation0.3681040451
Coefficient of variation (CV)-1.214958397
Kurtosis-1.519742234
Mean-0.3029766665
Median Absolute Deviation (MAD)0
Skewness-0.4661158023
Sum-583.230083
Variance0.135500588
2021-06-04T15:25:13.220007image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.6141078838 51 2.6%
 
-0.7904564315 13 0.7%
 
-0.8070539419 10 0.5%
 
-0.8215767635 10 0.5%
 
-0.7365145228 9 0.5%
 
-0.8174273859 9 0.5%
 
-0.8589211618 9 0.5%
 
-0.7883817427 8 0.4%
 
-0.8506224066 8 0.4%
 
Other values (263) 694 36.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9937759336 1 0.1%
 
-0.9771784232 1 0.1%
 
-0.9751037344 2 0.1%
 
-0.9730290456 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.08091286307 1 0.1%
 
0.06639004149 1 0.1%
 
0 1104 57.4%
 
-0.1078838174 1 0.1%
 

LINFOCITOS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

NEUTROPHILES_MEDIAN
Real number (ℝ)

ZEROS
Distinct count493
Unique (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.34659526445086386
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:13.330974image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9215686275
Q1-0.8239295718
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8239295718

Descriptive statistics

Standard deviation0.4131778634
Coefficient of variation (CV)-1.192104757
Kurtosis-1.722740231
Mean-0.3465952645
Median Absolute Deviation (MAD)0
Skewness-0.3786364995
Sum-667.1958841
Variance0.1707159468
2021-06-04T15:25:13.429112image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
Other values (483) 732 38.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 

NEUTROPHILES_MEAN
Real number (ℝ)

ZEROS
Distinct count493
Unique (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.34659526445086386
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:13.538600image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9215686275
Q1-0.8239295718
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8239295718

Descriptive statistics

Standard deviation0.4131778634
Coefficient of variation (CV)-1.192104757
Kurtosis-1.722740231
Mean-0.3465952645
Median Absolute Deviation (MAD)0
Skewness-0.3786364995
Sum-667.1958841
Variance0.1707159468
2021-06-04T15:25:13.646283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
Other values (483) 732 38.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 

NEUTROPHILES_MIN
Real number (ℝ)

ZEROS
Distinct count493
Unique (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.34659526445086386
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:13.755267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9215686275
Q1-0.8239295718
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8239295718

Descriptive statistics

Standard deviation0.4131778634
Coefficient of variation (CV)-1.192104757
Kurtosis-1.722740231
Mean-0.3465952645
Median Absolute Deviation (MAD)0
Skewness-0.3786364995
Sum-667.1958841
Variance0.1707159468
2021-06-04T15:25:13.856088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
Other values (483) 732 38.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 

NEUTROPHILES_MAX
Real number (ℝ)

ZEROS
Distinct count493
Unique (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.34659526445086386
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:13.965412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9215686275
Q1-0.8239295718
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8239295718

Descriptive statistics

Standard deviation0.4131778634
Coefficient of variation (CV)-1.192104757
Kurtosis-1.722740231
Mean-0.3465952645
Median Absolute Deviation (MAD)0
Skewness-0.3786364995
Sum-667.1958841
Variance0.1707159468
2021-06-04T15:25:14.068016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8128394215 48 2.5%
 
-0.9131652661 6 0.3%
 
-0.8471388555 5 0.3%
 
-0.837535014 5 0.3%
 
-0.868747499 5 0.3%
 
-0.9067627051 5 0.3%
 
-0.8787515006 5 0.3%
 
-0.8891556623 5 0.3%
 
-0.8639455782 5 0.3%
 
Other values (483) 732 38.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9979991997 1 0.1%
 
-0.9963985594 1 0.1%
 
-0.9855942377 1 0.1%
 
-0.9851940776 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.001200480192 1 0.1%
 
-0.0700280112 1 0.1%
 
-0.08163265306 1 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

P02_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count76
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07501425403864427
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:14.176866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1707317073
Q1-0.1707317073
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.1707317073

Descriptive statistics

Standard deviation0.1350001781
Coefficient of variation (CV)-1.799660343
Kurtosis13.8575648
Mean-0.07501425404
Median Absolute Deviation (MAD)0
Skewness-0.7520533532
Sum-144.402439
Variance0.0182250481
2021-06-04T15:25:14.275749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
Other values (66) 83 4.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count76
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07501425403864427
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:14.384230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1707317073
Q1-0.1707317073
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.1707317073

Descriptive statistics

Standard deviation0.1350001781
Coefficient of variation (CV)-1.799660343
Kurtosis13.8575648
Mean-0.07501425404
Median Absolute Deviation (MAD)0
Skewness-0.7520533532
Sum-144.402439
Variance0.0182250481
2021-06-04T15:25:14.482978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
Other values (66) 83 4.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count76
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07501425403864427
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:14.594786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1707317073
Q1-0.1707317073
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.1707317073

Descriptive statistics

Standard deviation0.1350001781
Coefficient of variation (CV)-1.799660343
Kurtosis13.8575648
Mean-0.07501425404
Median Absolute Deviation (MAD)0
Skewness-0.7520533532
Sum-144.402439
Variance0.0182250481
2021-06-04T15:25:14.694394image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
Other values (66) 83 4.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 

P02_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count76
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07501425403864427
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:15.034556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1707317073
Q1-0.1707317073
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.1707317073

Descriptive statistics

Standard deviation0.1350001781
Coefficient of variation (CV)-1.799660343
Kurtosis13.8575648
Mean-0.07501425404
Median Absolute Deviation (MAD)0
Skewness-0.7520533532
Sum-144.402439
Variance0.0182250481
2021-06-04T15:25:15.144316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.1707317073 709 36.8%
 
-0.8048780488 4 0.2%
 
-0.512195122 4 0.2%
 
-0.3658536585 4 0.2%
 
-0.1219512195 4 0.2%
 
0.08536585366 4 0.2%
 
-0.5731707317 3 0.2%
 
-0.5243902439 3 0.2%
 
-0.3292682927 3 0.2%
 
Other values (66) 83 4.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9024390244 1 0.1%
 
-0.8780487805 1 0.1%
 
-0.8658536585 1 0.1%
 
-0.8414634146 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7926829268 1 0.1%
 
0.756097561 1 0.1%
 
0.743902439 1 0.1%
 
0.7317073171 1 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

P02_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count75
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.28802889418274036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:15.251437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7514792899
Q1-0.7041420118
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7041420118

Descriptive statistics

Standard deviation0.3485494004
Coefficient of variation (CV)-1.210119566
Kurtosis-1.600752237
Mean-0.2880288942
Median Absolute Deviation (MAD)0
Skewness-0.3869918093
Sum-554.4556213
Variance0.1214866845
2021-06-04T15:25:15.351302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
Other values (65) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count75
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.28802889418274036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:15.457960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7514792899
Q1-0.7041420118
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7041420118

Descriptive statistics

Standard deviation0.3485494004
Coefficient of variation (CV)-1.210119566
Kurtosis-1.600752237
Mean-0.2880288942
Median Absolute Deviation (MAD)0
Skewness-0.3869918093
Sum-554.4556213
Variance0.1214866845
2021-06-04T15:25:15.558752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
Other values (65) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count75
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.28802889418274036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:15.668125image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7514792899
Q1-0.7041420118
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7041420118

Descriptive statistics

Standard deviation0.3485494004
Coefficient of variation (CV)-1.210119566
Kurtosis-1.600752237
Mean-0.2880288942
Median Absolute Deviation (MAD)0
Skewness-0.3869918093
Sum-554.4556213
Variance0.1214866845
2021-06-04T15:25:15.765800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
Other values (65) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count75
Unique (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.28802889418274036
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:15.873122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7514792899
Q1-0.7041420118
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7041420118

Descriptive statistics

Standard deviation0.3485494004
Coefficient of variation (CV)-1.210119566
Kurtosis-1.600752237
Mean-0.2880288942
Median Absolute Deviation (MAD)0
Skewness-0.3869918093
Sum-554.4556213
Variance0.1214866845
2021-06-04T15:25:15.976923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7041420118 502 26.1%
 
-0.6213017751 12 0.6%
 
-0.5976331361 12 0.6%
 
-0.6923076923 12 0.6%
 
-0.7278106509 11 0.6%
 
-0.5857988166 10 0.5%
 
-0.6449704142 10 0.5%
 
-0.6686390533 10 0.5%
 
-0.6094674556 10 0.5%
 
Other values (65) 232 12.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9881656805 1 0.1%
 
-0.9763313609 1 0.1%
 
-0.9526627219 2 0.1%
 
-0.9408284024 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6686390533 1 0.1%
 
0.3727810651 1 0.1%
 
0.2189349112 1 0.1%
 
0.04142011834 1 0.1%
 

P02_VENOUS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PC02_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3316686072548142
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:16.091182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7793103448
Q1-0.7793103448
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7793103448

Descriptive statistics

Standard deviation0.387655472
Coefficient of variation (CV)-1.16880363
Kurtosis-1.828897256
Mean-0.3316686073
Median Absolute Deviation (MAD)0
Skewness-0.2920165073
Sum-638.462069
Variance0.150276765
2021-06-04T15:25:16.191712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
Other values (25) 50 2.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 

PC02_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3316686072548142
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:16.302977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7793103448
Q1-0.7793103448
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7793103448

Descriptive statistics

Standard deviation0.387655472
Coefficient of variation (CV)-1.16880363
Kurtosis-1.828897256
Mean-0.3316686073
Median Absolute Deviation (MAD)0
Skewness-0.2920165073
Sum-638.462069
Variance0.150276765
2021-06-04T15:25:16.406880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
Other values (25) 50 2.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 

PC02_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3316686072548142
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:16.518144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7793103448
Q1-0.7793103448
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7793103448

Descriptive statistics

Standard deviation0.387655472
Coefficient of variation (CV)-1.16880363
Kurtosis-1.828897256
Mean-0.3316686073
Median Absolute Deviation (MAD)0
Skewness-0.2920165073
Sum-638.462069
Variance0.150276765
2021-06-04T15:25:16.622941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
Other values (25) 50 2.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 

PC02_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3316686072548142
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:16.735714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7793103448
Q1-0.7793103448
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.7793103448

Descriptive statistics

Standard deviation0.387655472
Coefficient of variation (CV)-1.16880363
Kurtosis-1.828897256
Mean-0.3316686073
Median Absolute Deviation (MAD)0
Skewness-0.2920165073
Sum-638.462069
Variance0.150276765
2021-06-04T15:25:16.834598image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.7793103448 717 37.2%
 
-0.7931034483 11 0.6%
 
-0.8206896552 8 0.4%
 
-0.7517241379 7 0.4%
 
-0.7655172414 7 0.4%
 
-0.7379310345 6 0.3%
 
-0.8344827586 5 0.3%
 
-0.8068965517 5 0.3%
 
-0.9172413793 5 0.3%
 
Other values (25) 50 2.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9724137931 2 0.1%
 
-0.9586206897 2 0.1%
 
-0.9310344828 3 0.2%
 
-0.9172413793 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.3103448276 1 0.1%
 
-0.4896551724 1 0.1%
 
-0.5586206897 1 0.1%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PC02_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count43
Unique (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3223424428332404
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:16.943841image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8282208589
Q1-0.754601227
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.754601227

Descriptive statistics

Standard deviation0.3790190625
Coefficient of variation (CV)-1.175827357
Kurtosis-1.780079122
Mean-0.3223424428
Median Absolute Deviation (MAD)0
Skewness-0.3103135159
Sum-620.5092025
Variance0.1436554497
2021-06-04T15:25:17.042562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
Other values (33) 167 8.7%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
0 1104 57.4%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 

PC02_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count43
Unique (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3223424428332404
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:17.153666image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8282208589
Q1-0.754601227
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.754601227

Descriptive statistics

Standard deviation0.3790190625
Coefficient of variation (CV)-1.175827357
Kurtosis-1.780079122
Mean-0.3223424428
Median Absolute Deviation (MAD)0
Skewness-0.3103135159
Sum-620.5092025
Variance0.1436554497
2021-06-04T15:25:17.252586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
Other values (33) 167 8.7%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
0 1104 57.4%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 

PC02_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count43
Unique (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3223424428332404
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:17.359165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8282208589
Q1-0.754601227
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.754601227

Descriptive statistics

Standard deviation0.3790190625
Coefficient of variation (CV)-1.175827357
Kurtosis-1.780079122
Mean-0.3223424428
Median Absolute Deviation (MAD)0
Skewness-0.3103135159
Sum-620.5092025
Variance0.1436554497
2021-06-04T15:25:17.458568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
Other values (33) 167 8.7%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
0 1104 57.4%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 

PC02_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count43
Unique (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3223424428332404
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:17.567937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8282208589
Q1-0.754601227
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.754601227

Descriptive statistics

Standard deviation0.3790190625
Coefficient of variation (CV)-1.175827357
Kurtosis-1.780079122
Mean-0.3223424428
Median Absolute Deviation (MAD)0
Skewness-0.3103135159
Sum-620.5092025
Variance0.1436554497
2021-06-04T15:25:17.673818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.754601227 507 26.3%
 
-0.8404907975 25 1.3%
 
-0.7668711656 23 1.2%
 
-0.8159509202 20 1.0%
 
-0.7791411043 19 1.0%
 
-0.7423312883 18 0.9%
 
-0.7300613497 14 0.7%
 
-0.7914110429 14 0.7%
 
-0.6809815951 14 0.7%
 
Other values (33) 167 8.7%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9509202454 3 0.2%
 
-0.9386503067 1 0.1%
 
-0.9263803681 7 0.4%
 
-0.9141104294 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4110429448 1 0.1%
 
0 1104 57.4%
 
-0.3742331288 1 0.1%
 
-0.4478527607 1 0.1%
 

PC02_VENOUS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PCR_MEDIAN
Real number (ℝ)

ZEROS
Distinct count484
Unique (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3606300542557632
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:17.781019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9920604915
Q1-0.9085066163
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9085066163

Descriptive statistics

Standard deviation0.4478916402
Coefficient of variation (CV)-1.241969811
Kurtosis-1.614148639
Mean-0.3606300543
Median Absolute Deviation (MAD)0
Skewness-0.4328123838
Sum-694.2128544
Variance0.2006069213
2021-06-04T15:25:17.880486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
Other values (474) 704 36.6%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MEAN
Real number (ℝ)

ZEROS
Distinct count484
Unique (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3606300542557632
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:17.990006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9920604915
Q1-0.9085066163
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9085066163

Descriptive statistics

Standard deviation0.4478916402
Coefficient of variation (CV)-1.241969811
Kurtosis-1.614148639
Mean-0.3606300543
Median Absolute Deviation (MAD)0
Skewness-0.4328123838
Sum-694.2128544
Variance0.2006069213
2021-06-04T15:25:18.092336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
Other values (474) 704 36.6%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MIN
Real number (ℝ)

ZEROS
Distinct count484
Unique (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3606300542557632
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:18.197636image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9920604915
Q1-0.9085066163
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9085066163

Descriptive statistics

Standard deviation0.4478916402
Coefficient of variation (CV)-1.241969811
Kurtosis-1.614148639
Mean-0.3606300543
Median Absolute Deviation (MAD)0
Skewness-0.4328123838
Sum-694.2128544
Variance0.2006069213
2021-06-04T15:25:18.299738image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
Other values (474) 704 36.6%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_MAX
Real number (ℝ)

ZEROS
Distinct count484
Unique (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3606300542557632
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:18.407105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9920604915
Q1-0.9085066163
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9085066163

Descriptive statistics

Standard deviation0.4478916402
Coefficient of variation (CV)-1.241969811
Kurtosis-1.614148639
Mean-0.3606300543
Median Absolute Deviation (MAD)0
Skewness-0.4328123838
Sum-694.2128544
Variance0.2006069213
2021-06-04T15:25:18.505208image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9822306238 62 3.2%
 
-1 9 0.5%
 
-0.997731569 7 0.4%
 
-0.9996219282 7 0.4%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
-0.9894139887 6 0.3%
 
-0.9992438563 6 0.3%
 
-0.9875236295 6 0.3%
 
Other values (474) 704 36.6%
 
ValueCountFrequency (%) 
-1 9 0.5%
 
-0.9996219282 7 0.4%
 
-0.9992438563 6 0.3%
 
-0.9988657845 7 0.4%
 
-0.9984877127 7 0.4%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9663516068 1 0.1%
 
0.5353497164 1 0.1%
 
0.384120983 1 0.1%
 
0.3175803403 1 0.1%
 

PCR_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PH_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count36
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1010776457584955
Minimum-1.0
Maximum0.9999999999999964
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:18.616076image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.2340425532
95-th percentile0.2340425532
Maximum1
Range2
Interquartile range (IQR)0.2340425532

Descriptive statistics

Standard deviation0.1445723
Coefficient of variation (CV)1.430309332
Kurtosis4.552215395
Mean0.1010776458
Median Absolute Deviation (MAD)0
Skewness0.3056141447
Sum194.5744681
Variance0.02090114992
2021-06-04T15:25:18.715831image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
Other values (26) 56 2.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count36
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1010776457584955
Minimum-1.0
Maximum0.9999999999999964
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:18.825858image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.2340425532
95-th percentile0.2340425532
Maximum1
Range2
Interquartile range (IQR)0.2340425532

Descriptive statistics

Standard deviation0.1445723
Coefficient of variation (CV)1.430309332
Kurtosis4.552215395
Mean0.1010776458
Median Absolute Deviation (MAD)0
Skewness0.3056141447
Sum194.5744681
Variance0.02090114992
2021-06-04T15:25:18.924123image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
Other values (26) 56 2.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count36
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1010776457584955
Minimum-1.0
Maximum0.9999999999999964
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:19.032103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.2340425532
95-th percentile0.2340425532
Maximum1
Range2
Interquartile range (IQR)0.2340425532

Descriptive statistics

Standard deviation0.1445723
Coefficient of variation (CV)1.430309332
Kurtosis4.552215395
Mean0.1010776458
Median Absolute Deviation (MAD)0
Skewness0.3056141447
Sum194.5744681
Variance0.02090114992
2021-06-04T15:25:19.137045image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
Other values (26) 56 2.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count36
Unique (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1010776457584955
Minimum-1.0
Maximum0.9999999999999964
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:19.243914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.2340425532
95-th percentile0.2340425532
Maximum1
Range2
Interquartile range (IQR)0.2340425532

Descriptive statistics

Standard deviation0.1445723
Coefficient of variation (CV)1.430309332
Kurtosis4.552215395
Mean0.1010776458
Median Absolute Deviation (MAD)0
Skewness0.3056141447
Sum194.5744681
Variance0.02090114992
2021-06-04T15:25:19.343744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.2340425532 707 36.7%
 
0.3617021277 10 0.5%
 
0.1914893617 8 0.4%
 
0.6170212766 8 0.4%
 
0.4468085106 7 0.4%
 
0.2765957447 7 0.4%
 
0.5319148936 6 0.3%
 
0.4042553191 6 0.3%
 
0.1489361702 6 0.3%
 
Other values (26) 56 2.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.7021276596 2 0.1%
 
-0.5744680851 1 0.1%
 
-0.5106382979 1 0.1%
 
-0.4893617021 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.7872340426 1 0.1%
 
0.7021276596 2 0.1%
 
0.6595744681 3 0.2%
 
0.6170212766 8 0.4%
 

PH_ARTERIAL_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PH_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count40
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15737898465171193
Minimum-1.0
Maximum1.0
Zeros1106
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:19.451881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3636363636
95-th percentile0.4545454545
Maximum1
Range2
Interquartile range (IQR)0.3636363636

Descriptive statistics

Standard deviation0.2015602399
Coefficient of variation (CV)1.280731607
Kurtosis-0.3963795187
Mean0.1573789847
Median Absolute Deviation (MAD)0
Skewness0.4534825383
Sum302.9545455
Variance0.0406265303
2021-06-04T15:25:19.550567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1106 57.5%
 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
Other values (30) 101 5.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count40
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15737898465171193
Minimum-1.0
Maximum1.0
Zeros1106
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:19.662248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3636363636
95-th percentile0.4545454545
Maximum1
Range2
Interquartile range (IQR)0.3636363636

Descriptive statistics

Standard deviation0.2015602399
Coefficient of variation (CV)1.280731607
Kurtosis-0.3963795187
Mean0.1573789847
Median Absolute Deviation (MAD)0
Skewness0.4534825383
Sum302.9545455
Variance0.0406265303
2021-06-04T15:25:19.761200image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1106 57.5%
 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
Other values (30) 101 5.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count40
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15737898465171193
Minimum-1.0
Maximum1.0
Zeros1106
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:19.873504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3636363636
95-th percentile0.4545454545
Maximum1
Range2
Interquartile range (IQR)0.3636363636

Descriptive statistics

Standard deviation0.2015602399
Coefficient of variation (CV)1.280731607
Kurtosis-0.3963795187
Mean0.1573789847
Median Absolute Deviation (MAD)0
Skewness0.4534825383
Sum302.9545455
Variance0.0406265303
2021-06-04T15:25:19.974818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1106 57.5%
 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
Other values (30) 101 5.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count40
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15737898465171193
Minimum-1.0
Maximum1.0
Zeros1106
Zeros (%)57.5%
Memory size15.2 KiB
2021-06-04T15:25:20.085691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3636363636
95-th percentile0.4545454545
Maximum1
Range2
Interquartile range (IQR)0.3636363636

Descriptive statistics

Standard deviation0.2015602399
Coefficient of variation (CV)1.280731607
Kurtosis-0.3963795187
Mean0.1573789847
Median Absolute Deviation (MAD)0
Skewness0.4534825383
Sum302.9545455
Variance0.0406265303
2021-06-04T15:25:20.184165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1106 57.5%
 
0.3636363636 513 26.6%
 
0.4545454545 34 1.8%
 
0.3939393939 33 1.7%
 
0.3333333333 31 1.6%
 
0.4242424242 30 1.6%
 
0.5151515152 20 1.0%
 
0.4848484848 19 1.0%
 
0.303030303 19 1.0%
 
0.5757575758 19 1.0%
 
Other values (30) 101 5.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4545454545 1 0.1%
 
-0.3939393939 1 0.1%
 
-0.2727272727 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8484848485 1 0.1%
 
0.8181818182 2 0.1%
 
0.7575757576 1 0.1%
 
0.7272727273 1 0.1%
 

PH_VENOUS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

PLATELETS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count324
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.176772493194389
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:20.290842image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.700400534
Q1-0.3965287049
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3965287049

Descriptive statistics

Standard deviation0.2720007978
Coefficient of variation (CV)-1.538705445
Kurtosis0.1746472638
Mean-0.1767724932
Median Absolute Deviation (MAD)0
Skewness-0.7517007472
Sum-340.2870494
Variance0.07398443402
2021-06-04T15:25:20.393013image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
Other values (314) 707 36.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MEAN
Real number (ℝ)

ZEROS
Distinct count324
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.176772493194389
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:20.503449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.700400534
Q1-0.3965287049
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3965287049

Descriptive statistics

Standard deviation0.2720007978
Coefficient of variation (CV)-1.538705445
Kurtosis0.1746472638
Mean-0.1767724932
Median Absolute Deviation (MAD)0
Skewness-0.7517007472
Sum-340.2870494
Variance0.07398443402
2021-06-04T15:25:20.916034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
Other values (314) 707 36.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MIN
Real number (ℝ)

ZEROS
Distinct count324
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.176772493194389
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:21.022927image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.700400534
Q1-0.3965287049
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3965287049

Descriptive statistics

Standard deviation0.2720007978
Coefficient of variation (CV)-1.538705445
Kurtosis0.1746472638
Mean-0.1767724932
Median Absolute Deviation (MAD)0
Skewness-0.7517007472
Sum-340.2870494
Variance0.07398443402
2021-06-04T15:25:21.130137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
Other values (314) 707 36.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_MAX
Real number (ℝ)

ZEROS
Distinct count324
Unique (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.176772493194389
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:21.238295image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.700400534
Q1-0.3965287049
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.3965287049

Descriptive statistics

Standard deviation0.2720007978
Coefficient of variation (CV)-1.538705445
Kurtosis0.1746472638
Mean-0.1767724932
Median Absolute Deviation (MAD)0
Skewness-0.7517007472
Sum-340.2870494
Variance0.07398443402
2021-06-04T15:25:21.338227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.2283044059 49 2.5%
 
-0.3724966622 9 0.5%
 
-0.5834445928 9 0.5%
 
-0.567423231 9 0.5%
 
-0.5166889186 8 0.4%
 
-0.6395193591 8 0.4%
 
-0.6128170895 8 0.4%
 
-0.6421895861 7 0.4%
 
-0.6154873164 7 0.4%
 
Other values (314) 707 36.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9946595461 1 0.1%
 
-0.9866488652 1 0.1%
 
-0.9839786382 1 0.1%
 
-0.9813084112 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9706275033 1 0.1%
 
0.8558077437 1 0.1%
 
0.8210947931 1 0.1%
 
0.6982643525 1 0.1%
 

PLATELETS_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

POTASSIUM_MEDIAN
Real number (ℝ)

ZEROS
Distinct count39
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2241750841750842
Minimum-1.0
Maximum1.0
Zeros1105
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:21.447271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7037037037
Q1-0.4814814815
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.4814814815

Descriptive statistics

Standard deviation0.2877801792
Coefficient of variation (CV)-1.283729547
Kurtosis-0.9219242807
Mean-0.2241750842
Median Absolute Deviation (MAD)0
Skewness-0.5718473722
Sum-431.537037
Variance0.08281743152
2021-06-04T15:25:21.547859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1105 57.4%
 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
Other values (29) 216 11.2%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MEAN
Real number (ℝ)

ZEROS
Distinct count39
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2241750841750842
Minimum-1.0
Maximum1.0
Zeros1105
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:21.659879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7037037037
Q1-0.4814814815
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.4814814815

Descriptive statistics

Standard deviation0.2877801792
Coefficient of variation (CV)-1.283729547
Kurtosis-0.9219242807
Mean-0.2241750842
Median Absolute Deviation (MAD)0
Skewness-0.5718473722
Sum-431.537037
Variance0.08281743152
2021-06-04T15:25:21.760169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1105 57.4%
 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
Other values (29) 216 11.2%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MIN
Real number (ℝ)

ZEROS
Distinct count39
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2241750841750842
Minimum-1.0
Maximum1.0
Zeros1105
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:21.868001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7037037037
Q1-0.4814814815
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.4814814815

Descriptive statistics

Standard deviation0.2877801792
Coefficient of variation (CV)-1.283729547
Kurtosis-0.9219242807
Mean-0.2241750842
Median Absolute Deviation (MAD)0
Skewness-0.5718473722
Sum-431.537037
Variance0.08281743152
2021-06-04T15:25:21.967433image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1105 57.4%
 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
Other values (29) 216 11.2%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_MAX
Real number (ℝ)

ZEROS
Distinct count39
Unique (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2241750841750842
Minimum-1.0
Maximum1.0
Zeros1105
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:22.073205image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7037037037
Q1-0.4814814815
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.4814814815

Descriptive statistics

Standard deviation0.2877801792
Coefficient of variation (CV)-1.283729547
Kurtosis-0.9219242807
Mean-0.2241750842
Median Absolute Deviation (MAD)0
Skewness-0.5718473722
Sum-431.537037
Variance0.08281743152
2021-06-04T15:25:22.177966image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1105 57.4%
 
-0.4814814815 146 7.6%
 
-0.5555555556 77 4.0%
 
-0.5185185185 74 3.8%
 
-0.5925925926 62 3.2%
 
-0.6296296296 59 3.1%
 
-0.6666666667 52 2.7%
 
-0.4074074074 50 2.6%
 
-0.4444444444 49 2.5%
 
-0.7037037037 35 1.8%
 
Other values (29) 216 11.2%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9814814815 1 0.1%
 
-0.962962963 3 0.2%
 
-0.9259259259 2 0.1%
 
-0.8888888889 6 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6296296296 3 0.2%
 
0.2592592593 1 0.1%
 
0.2222222222 1 0.1%
 
0.1851851852 1 0.1%
 

POTASSIUM_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

SAT02_ARTERIAL_MEDIAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38993309720582453
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:22.286378image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0.9393939394

Descriptive statistics

Standard deviation0.4627045515
Coefficient of variation (CV)1.186625487
Kurtosis-1.834373206
Mean0.3899330972
Median Absolute Deviation (MAD)0
Skewness0.3183790684
Sum750.6212121
Variance0.2140955019
2021-06-04T15:25:22.388283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
Other values (17) 23 1.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MEAN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38993309720582453
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:22.498922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0.9393939394

Descriptive statistics

Standard deviation0.4627045515
Coefficient of variation (CV)1.186625487
Kurtosis-1.834373206
Mean0.3899330972
Median Absolute Deviation (MAD)0
Skewness0.3183790684
Sum750.6212121
Variance0.2140955019
2021-06-04T15:25:22.601496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
Other values (17) 23 1.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MIN
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38993309720582453
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:22.707447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0.9393939394

Descriptive statistics

Standard deviation0.4627045515
Coefficient of variation (CV)1.186625487
Kurtosis-1.834373206
Mean0.3899330972
Median Absolute Deviation (MAD)0
Skewness0.3183790684
Sum750.6212121
Variance0.2140955019
2021-06-04T15:25:22.808347image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
Other values (17) 23 1.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 

SAT02_ARTERIAL_MAX
Real number (ℝ)

ZEROS
Distinct count27
Unique (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38993309720582453
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:22.915497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.9393939394
95-th percentile0.9393939394
Maximum1
Range2
Interquartile range (IQR)0.9393939394

Descriptive statistics

Standard deviation0.4627045515
Coefficient of variation (CV)1.186625487
Kurtosis-1.834373206
Mean0.3899330972
Median Absolute Deviation (MAD)0
Skewness0.3183790684
Sum750.6212121
Variance0.2140955019
2021-06-04T15:25:23.015259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.9393939394 723 37.6%
 
0.9696969697 16 0.8%
 
1 15 0.8%
 
0.8484848485 12 0.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
0.7575757576 6 0.3%
 
0.7878787879 5 0.3%
 
0.8181818182 4 0.2%
 
Other values (17) 23 1.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5757575758 1 0.1%
 
-0.4848484848 1 0.1%
 
-0.2121212121 1 0.1%
 
-0.09090909091 1 0.1%
 
ValueCountFrequency (%) 
1 15 0.8%
 
0.9696969697 16 0.8%
 
0.9393939394 723 37.6%
 
0.9090909091 10 0.5%
 
0.8787878788 7 0.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

SAT02_VENOUS_MEDIAN
Real number (ℝ)

ZEROS
Distinct count78
Unique (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1415808882475549
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:23.130430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3456790123
95-th percentile0.6296296296
Maximum1
Range2
Interquartile range (IQR)0.3456790123

Descriptive statistics

Standard deviation0.2581746023
Coefficient of variation (CV)1.823513085
Kurtosis2.035886177
Mean0.1415808882
Median Absolute Deviation (MAD)0
Skewness0.3732967133
Sum272.5432099
Variance0.06665412525
2021-06-04T15:25:23.229817image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
Other values (68) 244 12.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MEAN
Real number (ℝ)

ZEROS
Distinct count78
Unique (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1415808882475549
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:23.336409image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3456790123
95-th percentile0.6296296296
Maximum1
Range2
Interquartile range (IQR)0.3456790123

Descriptive statistics

Standard deviation0.2581746023
Coefficient of variation (CV)1.823513085
Kurtosis2.035886177
Mean0.1415808882
Median Absolute Deviation (MAD)0
Skewness0.3732967133
Sum272.5432099
Variance0.06665412525
2021-06-04T15:25:23.435248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
Other values (68) 244 12.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MIN
Real number (ℝ)

ZEROS
Distinct count78
Unique (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1415808882475549
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:23.541344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3456790123
95-th percentile0.6296296296
Maximum1
Range2
Interquartile range (IQR)0.3456790123

Descriptive statistics

Standard deviation0.2581746023
Coefficient of variation (CV)1.823513085
Kurtosis2.035886177
Mean0.1415808882
Median Absolute Deviation (MAD)0
Skewness0.3732967133
Sum272.5432099
Variance0.06665412525
2021-06-04T15:25:23.644813image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
Other values (68) 244 12.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 

SAT02_VENOUS_MAX
Real number (ℝ)

ZEROS
Distinct count78
Unique (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1415808882475549
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:23.752857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0
Q30.3456790123
95-th percentile0.6296296296
Maximum1
Range2
Interquartile range (IQR)0.3456790123

Descriptive statistics

Standard deviation0.2581746023
Coefficient of variation (CV)1.823513085
Kurtosis2.035886177
Mean0.1415808882
Median Absolute Deviation (MAD)0
Skewness0.3732967133
Sum272.5432099
Variance0.06665412525
2021-06-04T15:25:23.852155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.3456790123 485 25.2%
 
0.2839506173 14 0.7%
 
0.5802469136 13 0.7%
 
0.4814814815 12 0.6%
 
0.6296296296 12 0.6%
 
0.7777777778 12 0.6%
 
0.3827160494 10 0.5%
 
0.3333333333 10 0.5%
 
0.5308641975 9 0.5%
 
Other values (68) 244 12.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.950617284 1 0.1%
 
-0.9259259259 2 0.1%
 
-0.8271604938 1 0.1%
 
-0.8024691358 1 0.1%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.975308642 3 0.2%
 
0.950617284 6 0.3%
 
0.9259259259 4 0.2%
 
0.9012345679 8 0.4%
 
Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

SODIUM_MEDIAN
Real number (ℝ)

ZEROS
Distinct count34
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02262956091527537
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:23.960705image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2571428571
Q10
median0
Q30
95-th percentile0.1428571429
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369817259
Coefficient of variation (CV)-6.05322067
Kurtosis12.23210573
Mean-0.02262956092
Median Absolute Deviation (MAD)0
Skewness-0.5811523911
Sum-43.56190476
Variance0.01876399323
2021-06-04T15:25:24.061676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
Other values (24) 147 7.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MEAN
Real number (ℝ)

ZEROS
Distinct count34
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02262956091527537
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:24.175585image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2571428571
Q10
median0
Q30
95-th percentile0.1428571429
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369817259
Coefficient of variation (CV)-6.05322067
Kurtosis12.23210573
Mean-0.02262956092
Median Absolute Deviation (MAD)0
Skewness-0.5811523911
Sum-43.56190476
Variance0.01876399323
2021-06-04T15:25:24.277088image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
Other values (24) 147 7.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MIN
Real number (ℝ)

ZEROS
Distinct count34
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02262956091527537
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:24.389866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2571428571
Q10
median0
Q30
95-th percentile0.1428571429
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369817259
Coefficient of variation (CV)-6.05322067
Kurtosis12.23210573
Mean-0.02262956092
Median Absolute Deviation (MAD)0
Skewness-0.5811523911
Sum-43.56190476
Variance0.01876399323
2021-06-04T15:25:24.492289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
Other values (24) 147 7.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_MAX
Real number (ℝ)

ZEROS
Distinct count34
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02262956091527537
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:24.609217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2571428571
Q10
median0
Q30
95-th percentile0.1428571429
Maximum1
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1369817259
Coefficient of variation (CV)-6.05322067
Kurtosis12.23210573
Mean-0.02262956092
Median Absolute Deviation (MAD)0
Skewness-0.5811523911
Sum-43.56190476
Variance0.01876399323
2021-06-04T15:25:24.715443image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
0.02857142857 101 5.2%
 
0.06666666667 91 4.7%
 
-0.02857142857 90 4.7%
 
-0.08571428571 86 4.5%
 
-0.1428571429 78 4.1%
 
0.08571428571 67 3.5%
 
-0.2 59 3.1%
 
-0.2571428571 55 2.9%
 
0.1428571429 47 2.4%
 
Other values (24) 147 7.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8285714286 1 0.1%
 
-0.7714285714 1 0.1%
 
-0.7142857143 2 0.1%
 
-0.6571428571 4 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9428571429 1 0.1%
 
0.8857142857 2 0.1%
 
0.8285714286 1 0.1%
 
0.7714285714 1 0.1%
 

SODIUM_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

TGO_MEDIAN
Real number (ℝ)

ZEROS
Distinct count101
Unique (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42267813366068474
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:24.830889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9979471867
Q1-0.995427825
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.995427825

Descriptive statistics

Standard deviation0.4927002545
Coefficient of variation (CV)-1.165662984
Kurtosis-1.881194389
Mean-0.4226781337
Median Absolute Deviation (MAD)0
Skewness-0.2911867225
Sum-813.6554073
Variance0.2427535408
2021-06-04T15:25:24.929546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
Other values (91) 413 21.5%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 

TGO_MEAN
Real number (ℝ)

ZEROS
Distinct count101
Unique (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42267813366068474
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:25.037768image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9979471867
Q1-0.995427825
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.995427825

Descriptive statistics

Standard deviation0.4927002545
Coefficient of variation (CV)-1.165662984
Kurtosis-1.881194389
Mean-0.4226781337
Median Absolute Deviation (MAD)0
Skewness-0.2911867225
Sum-813.6554073
Variance0.2427535408
2021-06-04T15:25:25.140568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
Other values (91) 413 21.5%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 

TGO_MIN
Real number (ℝ)

ZEROS
Distinct count101
Unique (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42267813366068474
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:25.249380image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9979471867
Q1-0.995427825
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.995427825

Descriptive statistics

Standard deviation0.4927002545
Coefficient of variation (CV)-1.165662984
Kurtosis-1.881194389
Mean-0.4226781337
Median Absolute Deviation (MAD)0
Skewness-0.2911867225
Sum-813.6554073
Variance0.2427535408
2021-06-04T15:25:25.349227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
Other values (91) 413 21.5%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 

TGO_MAX
Real number (ℝ)

ZEROS
Distinct count101
Unique (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.42267813366068474
Minimum-1.0
Maximum0.9999999999999998
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:25.457923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9979471867
Q1-0.995427825
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.995427825

Descriptive statistics

Standard deviation0.4927002545
Coefficient of variation (CV)-1.165662984
Kurtosis-1.881194389
Mean-0.4226781337
Median Absolute Deviation (MAD)0
Skewness-0.2911867225
Sum-813.6554073
Variance0.2427535408
2021-06-04T15:25:25.560401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.995427825 230 11.9%
 
-0.9973873285 29 1.5%
 
-0.996640851 27 1.4%
 
-0.9962676122 25 1.3%
 
-0.9977605673 21 1.1%
 
-0.9968274704 21 1.1%
 
-0.9955211346 19 1.0%
 
-0.9979471867 18 0.9%
 
-0.9981338061 18 0.9%
 
Other values (91) 413 21.5%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9996267612 4 0.2%
 
-0.9994401418 1 0.1%
 
-0.9992535224 5 0.3%
 
-0.9990669031 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.2813287301 1 0.1%
 
-0.6939442008 1 0.1%
 
-0.9188205655 1 0.1%
 

TGO_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

TGP_MEDIAN
Real number (ℝ)

ZEROS
Distinct count131
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4188832356667722
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:25.677921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958079268
Q1-0.9866615854
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9866615854

Descriptive statistics

Standard deviation0.4881353175
Coefficient of variation (CV)-1.165325503
Kurtosis-1.879680432
Mean-0.4188832357
Median Absolute Deviation (MAD)0
Skewness-0.2904012546
Sum-806.3502287
Variance0.2382760882
2021-06-04T15:25:25.785562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
Other values (121) 449 23.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 

TGP_MEAN
Real number (ℝ)

ZEROS
Distinct count131
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4188832356667722
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:25.897353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958079268
Q1-0.9866615854
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9866615854

Descriptive statistics

Standard deviation0.4881353175
Coefficient of variation (CV)-1.165325503
Kurtosis-1.879680432
Mean-0.4188832357
Median Absolute Deviation (MAD)0
Skewness-0.2904012546
Sum-806.3502287
Variance0.2382760882
2021-06-04T15:25:25.996121image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
Other values (121) 449 23.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 

TGP_MIN
Real number (ℝ)

ZEROS
Distinct count131
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4188832356667722
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:26.102458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958079268
Q1-0.9866615854
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9866615854

Descriptive statistics

Standard deviation0.4881353175
Coefficient of variation (CV)-1.165325503
Kurtosis-1.879680432
Mean-0.4188832357
Median Absolute Deviation (MAD)0
Skewness-0.2904012546
Sum-806.3502287
Variance0.2382760882
2021-06-04T15:25:26.205911image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
Other values (121) 449 23.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 

TGP_MAX
Real number (ℝ)

ZEROS
Distinct count131
Unique (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4188832356667722
Minimum-0.9999999999999999
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:26.318159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958079268
Q1-0.9866615854
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9866615854

Descriptive statistics

Standard deviation0.4881353175
Coefficient of variation (CV)-1.165325503
Kurtosis-1.879680432
Mean-0.4188832357
Median Absolute Deviation (MAD)0
Skewness-0.2904012546
Sum-806.3502287
Variance0.2382760882
2021-06-04T15:25:26.417805image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9866615854 232 12.1%
 
-0.9958079268 23 1.2%
 
-0.9961890244 19 1.0%
 
-0.9950457317 19 1.0%
 
-0.9954268293 18 0.9%
 
-0.9935213415 17 0.9%
 
-0.993902439 16 0.8%
 
-0.996570122 14 0.7%
 
-0.9946646341 14 0.7%
 
Other values (121) 449 23.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9996189024 3 0.2%
 
-0.9992378049 2 0.1%
 
-0.9988567073 8 0.4%
 
-0.9984756098 9 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0 1104 57.4%
 
-0.6429115854 1 0.1%
 
-0.7949695122 1 0.1%
 
-0.8567073171 1 0.1%
 

TGP_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

TTPA_MEDIAN
Real number (ℝ)

ZEROS
Distinct count86
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3506972746988317
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:26.526079image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.863760218
Q1-0.8466329311
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8466329311

Descriptive statistics

Standard deviation0.4136830052
Coefficient of variation (CV)-1.179601426
Kurtosis-1.808486325
Mean-0.3506972747
Median Absolute Deviation (MAD)0
Skewness-0.3228567624
Sum-675.0922538
Variance0.1711336288
2021-06-04T15:25:26.628935image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
Other values (76) 254 13.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
0 1104 57.4%
 

TTPA_MEAN
Real number (ℝ)

ZEROS
Distinct count86
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3506972746988317
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:26.737065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.863760218
Q1-0.8466329311
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8466329311

Descriptive statistics

Standard deviation0.4136830052
Coefficient of variation (CV)-1.179601426
Kurtosis-1.808486325
Mean-0.3506972747
Median Absolute Deviation (MAD)0
Skewness-0.3228567624
Sum-675.0922538
Variance0.1711336288
2021-06-04T15:25:26.838064image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
Other values (76) 254 13.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
0 1104 57.4%
 

TTPA_MIN
Real number (ℝ)

ZEROS
Distinct count86
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3506972746988317
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:26.944172image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.863760218
Q1-0.8466329311
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8466329311

Descriptive statistics

Standard deviation0.4136830052
Coefficient of variation (CV)-1.179601426
Kurtosis-1.808486325
Mean-0.3506972747
Median Absolute Deviation (MAD)0
Skewness-0.3228567624
Sum-675.0922538
Variance0.1711336288
2021-06-04T15:25:27.043331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
Other values (76) 254 13.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
0 1104 57.4%
 

TTPA_MAX
Real number (ℝ)

ZEROS
Distinct count86
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3506972746988317
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:27.163069image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.863760218
Q1-0.8466329311
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8466329311

Descriptive statistics

Standard deviation0.4136830052
Coefficient of variation (CV)-1.179601426
Kurtosis-1.808486325
Mean-0.3506972747
Median Absolute Deviation (MAD)0
Skewness-0.3228567624
Sum-675.0922538
Variance0.1711336288
2021-06-04T15:25:27.262627image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8466329311 466 24.2%
 
-0.8310626703 17 0.9%
 
-0.8583106267 17 0.9%
 
-0.8365122616 14 0.7%
 
-0.825613079 12 0.6%
 
-0.7820163488 11 0.6%
 
-0.7765667575 10 0.5%
 
-0.863760218 10 0.5%
 
-0.8092643052 10 0.5%
 
Other values (76) 254 13.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9945504087 1 0.1%
 
-0.9891008174 1 0.1%
 
-0.9782016349 1 0.1%
 
-0.9673024523 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.1634877384 1 0.1%
 
0.1553133515 1 0.1%
 
0.05722070845 1 0.1%
 
0 1104 57.4%
 

TTPA_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

UREA_MEDIAN
Real number (ℝ)

ZEROS
Distinct count113
Unique (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35406665623533096
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:27.372502image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9228915663
Q1-0.8554216867
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8554216867

Descriptive statistics

Standard deviation0.4223421736
Coefficient of variation (CV)-1.192832384
Kurtosis-1.755544552
Mean-0.3540666562
Median Absolute Deviation (MAD)0
Skewness-0.352108757
Sum-681.5783133
Variance0.1783729116
2021-06-04T15:25:27.473436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
Other values (103) 502 26.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
0 1104 57.4%
 
-0.0265060241 1 0.1%
 

UREA_MEAN
Real number (ℝ)

ZEROS
Distinct count113
Unique (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35406665623533096
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:27.588338image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9228915663
Q1-0.8554216867
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8554216867

Descriptive statistics

Standard deviation0.4223421736
Coefficient of variation (CV)-1.192832384
Kurtosis-1.755544552
Mean-0.3540666562
Median Absolute Deviation (MAD)0
Skewness-0.352108757
Sum-681.5783133
Variance0.1783729116
2021-06-04T15:25:27.693084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
Other values (103) 502 26.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
0 1104 57.4%
 
-0.0265060241 1 0.1%
 

UREA_MIN
Real number (ℝ)

ZEROS
Distinct count113
Unique (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35406665623533096
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:27.805977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9228915663
Q1-0.8554216867
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8554216867

Descriptive statistics

Standard deviation0.4223421736
Coefficient of variation (CV)-1.192832384
Kurtosis-1.755544552
Mean-0.3540666562
Median Absolute Deviation (MAD)0
Skewness-0.352108757
Sum-681.5783133
Variance0.1783729116
2021-06-04T15:25:28.306613image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
Other values (103) 502 26.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
0 1104 57.4%
 
-0.0265060241 1 0.1%
 

UREA_MAX
Real number (ℝ)

ZEROS
Distinct count113
Unique (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.35406665623533096
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:28.414538image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9228915663
Q1-0.8554216867
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.8554216867

Descriptive statistics

Standard deviation0.4223421736
Coefficient of variation (CV)-1.192832384
Kurtosis-1.755544552
Mean-0.3540666562
Median Absolute Deviation (MAD)0
Skewness-0.352108757
Sum-681.5783133
Variance0.1783729116
2021-06-04T15:25:28.516806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.8795180723 123 6.4%
 
-0.8987951807 34 1.8%
 
-0.8746987952 32 1.7%
 
-0.8939759036 30 1.6%
 
-0.865060241 21 1.1%
 
-0.8554216867 20 1.0%
 
-0.9277108434 20 1.0%
 
-0.8698795181 20 1.0%
 
-0.913253012 19 1.0%
 
Other values (103) 502 26.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9807228916 1 0.1%
 
-0.9759036145 2 0.1%
 
-0.9710843373 2 0.1%
 
-0.9662650602 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5614457831 1 0.1%
 
0.4506024096 1 0.1%
 
0 1104 57.4%
 
-0.0265060241 1 0.1%
 

UREA_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

DIMER_MEDIAN
Real number (ℝ)

ZEROS
Distinct count369
Unique (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40695048235116843
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:28.631884image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9926299965
Q1-0.9780287553
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9780287553

Descriptive statistics

Standard deviation0.4788727644
Coefficient of variation (CV)-1.176734726
Kurtosis-1.848188115
Mean-0.4069504824
Median Absolute Deviation (MAD)0
Skewness-0.3103205644
Sum-783.3796785
Variance0.2293191245
2021-06-04T15:25:28.736914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
Other values (359) 414 21.5%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
0 1104 57.4%
 

DIMER_MEAN
Real number (ℝ)

ZEROS
Distinct count369
Unique (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40695048235116843
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:28.844849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9926299965
Q1-0.9780287553
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9780287553

Descriptive statistics

Standard deviation0.4788727644
Coefficient of variation (CV)-1.176734726
Kurtosis-1.848188115
Mean-0.4069504824
Median Absolute Deviation (MAD)0
Skewness-0.3103205644
Sum-783.3796785
Variance0.2293191245
2021-06-04T15:25:28.944183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
Other values (359) 414 21.5%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
0 1104 57.4%
 

DIMER_MIN
Real number (ℝ)

ZEROS
Distinct count369
Unique (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40695048235116843
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:29.049930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9926299965
Q1-0.9780287553
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9780287553

Descriptive statistics

Standard deviation0.4788727644
Coefficient of variation (CV)-1.176734726
Kurtosis-1.848188115
Mean-0.4069504824
Median Absolute Deviation (MAD)0
Skewness-0.3103205644
Sum-783.3796785
Variance0.2293191245
2021-06-04T15:25:29.160737image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
Other values (359) 414 21.5%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
0 1104 57.4%
 

DIMER_MAX
Real number (ℝ)

ZEROS
Distinct count369
Unique (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40695048235116843
Minimum-1.0
Maximum1.0
Zeros1104
Zeros (%)57.4%
Memory size15.2 KiB
2021-06-04T15:25:29.269432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9926299965
Q1-0.9780287553
median0
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.9780287553

Descriptive statistics

Standard deviation0.4788727644
Coefficient of variation (CV)-1.176734726
Kurtosis-1.848188115
Mean-0.4069504824
Median Absolute Deviation (MAD)0
Skewness-0.3103205644
Sum-783.3796785
Variance0.2293191245
2021-06-04T15:25:29.369389image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1104 57.4%
 
-0.9780287553 350 18.2%
 
-1 34 1.8%
 
-0.9924449755 5 0.3%
 
-0.9637667193 3 0.2%
 
-0.974174151 3 0.2%
 
-0.987511082 3 0.2%
 
-0.9914427784 3 0.2%
 
-0.9949119223 3 0.2%
 
-0.9771036503 3 0.2%
 
Other values (359) 414 21.5%
 
ValueCountFrequency (%) 
-1 34 1.8%
 
-0.9996916317 2 0.1%
 
-0.9989978029 1 0.1%
 
-0.9987665266 1 0.1%
 
-0.9986894345 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.5132405659 1 0.1%
 
0.2041783911 1 0.1%
 
0.1462822341 1 0.1%
 
0 1104 57.4%
 

DIMER_DIFF
Categorical

Distinct count2
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
0
1104
-1
821
ValueCountFrequency (%) 
0 1104 57.4%
 
-1 821 42.6%
 

BLOODPRESSURE_DIASTOLIC_MEAN
Real number (ℝ)

ZEROS
Distinct count542
Unique (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06031306757017334
Minimum-1.0
Maximum1.0
Zeros688
Zeros (%)35.7%
Memory size15.2 KiB
2021-06-04T15:25:29.478129image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4318503908
Q1-0.1604938272
median0
Q30
95-th percentile0.2839506173
Maximum1
Range2
Interquartile range (IQR)0.1604938272

Descriptive statistics

Standard deviation0.2071864338
Coefficient of variation (CV)-3.435183156
Kurtosis1.860518805
Mean-0.06031306757
Median Absolute Deviation (MAD)0.08641975309
Skewness-0.1825159888
Sum-116.1026551
Variance0.04292621834
2021-06-04T15:25:29.579518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 688 35.7%
 
0.08641975309 103 5.4%
 
-0.1604938272 94 4.9%
 
-0.4074074074 56 2.9%
 
0.3333333333 36 1.9%
 
0.03703703704 26 1.4%
 
-0.2839506173 23 1.2%
 
-0.03703703704 20 1.0%
 
-0.1111111111 20 1.0%
 
-0.06172839506 19 1.0%
 
Other values (532) 840 43.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8765432099 1 0.1%
 
-0.7407407407 1 0.1%
 
-0.7345679012 1 0.1%
 
-0.7283950617 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9012345679 1 0.1%
 
0.8271604938 1 0.1%
 
0.7777777778 1 0.1%
 
0.7283950617 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MEAN
Real number (ℝ)

ZEROS
Distinct count604
Unique (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.21424654539719204
Minimum-1.0
Maximum1.0
Zeros691
Zeros (%)35.9%
Memory size15.2 KiB
2021-06-04T15:25:29.694876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6923076923
Q1-0.4198996656
median-0.1558823529
Q30
95-th percentile0.07692307692
Maximum1
Range2
Interquartile range (IQR)0.4198996656

Descriptive statistics

Standard deviation0.2715744988
Coefficient of variation (CV)-1.26757936
Kurtosis0.07423619128
Mean-0.2142465454
Median Absolute Deviation (MAD)0.1558823529
Skewness-0.2067436268
Sum-412.4245999
Variance0.07375270841
2021-06-04T15:25:29.801825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 691 35.9%
 
-0.3846153846 75 3.9%
 
-0.5384615385 68 3.5%
 
-0.2307692308 48 2.5%
 
-0.6923076923 36 1.9%
 
-0.07692307692 32 1.7%
 
-0.3076923077 22 1.1%
 
0.07692307692 20 1.0%
 
-0.3384615385 14 0.7%
 
-0.4615384615 14 0.7%
 
Other values (594) 905 47.0%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9846153846 1 0.1%
 
-0.9692307692 1 0.1%
 
-0.9615384615 1 0.1%
 
-0.9538461538 1 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8923076923 1 0.1%
 
0.7538461538 1 0.1%
 
0.6769230769 1 0.1%
 
0.6461538462 1 0.1%
 

HEART_RATE_MEAN
Real number (ℝ)

ZEROS
Distinct count587
Unique (%)30.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.17050883732594938
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:29.912734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5849056604
Q1-0.3396226415
median-0.1132075472
Q30
95-th percentile0.09433962264
Maximum1
Range2
Interquartile range (IQR)0.3396226415

Descriptive statistics

Standard deviation0.2351183258
Coefficient of variation (CV)-1.378921641
Kurtosis0.6569104381
Mean-0.1705088373
Median Absolute Deviation (MAD)0.1132075472
Skewness-0.2596783725
Sum-328.2295119
Variance0.05528062713
2021-06-04T15:25:30.019806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.3018867925 32 1.7%
 
-0.2641509434 26 1.4%
 
-0.4716981132 24 1.2%
 
-0.1886792453 24 1.2%
 
-0.4528301887 23 1.2%
 
-0.3962264151 23 1.2%
 
-0.4150943396 23 1.2%
 
-0.2830188679 21 1.1%
 
-0.3396226415 21 1.1%
 
Other values (577) 1023 53.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9339622642 1 0.1%
 
-0.8867924528 1 0.1%
 
-0.8490566038 1 0.1%
 
-0.832884097 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9056603774 1 0.1%
 
0.7730406386 1 0.1%
 
0.6603773585 1 0.1%
 
0.641509434 1 0.1%
 

RESPIRATORY_RATE_MEAN
Real number (ℝ)

ZEROS
Distinct count459
Unique (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.26826702375120864
Minimum-1.0
Maximum0.9999999999999998
Zeros748
Zeros (%)38.9%
Memory size15.2 KiB
2021-06-04T15:25:30.134302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6610169492
Q1-0.5254237288
median-0.3029661017
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.5254237288

Descriptive statistics

Standard deviation0.2730788024
Coefficient of variation (CV)-1.017936527
Kurtosis-0.6485329242
Mean-0.2682670238
Median Absolute Deviation (MAD)0.2902542373
Skewness0.1260534367
Sum-516.4140207
Variance0.07457203235
2021-06-04T15:25:30.240346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 748 38.9%
 
-0.5254237288 165 8.6%
 
-0.593220339 107 5.6%
 
-0.4576271186 88 4.6%
 
-0.3898305085 62 3.2%
 
-0.6610169492 59 3.1%
 
-0.2542372881 35 1.8%
 
-0.3220338983 24 1.2%
 
-0.1186440678 20 1.0%
 
-0.186440678 18 0.9%
 
Other values (449) 599 31.1%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9548022599 1 0.1%
 
-0.9322033898 4 0.2%
 
-0.8644067797 3 0.2%
 
-0.8480853735 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8305084746 3 0.2%
 
0.7220338983 1 0.1%
 
0.6949152542 1 0.1%
 
0.604519774 1 0.1%
 

TEMPERATURE_MEAN
Real number (ℝ)

ZEROS
Distinct count570
Unique (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04277647344182162
Minimum-1.0
Maximum1.0
Zeros721
Zeros (%)37.5%
Memory size15.2 KiB
2021-06-04T15:25:30.358745image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2142857143
Q1-0.03153988868
median0
Q30.1071428571
95-th percentile0.4511904762
Maximum1
Range2
Interquartile range (IQR)0.1386827458

Descriptive statistics

Standard deviation0.1968185878
Coefficient of variation (CV)4.601094293
Kurtosis3.360224386
Mean0.04277647344
Median Absolute Deviation (MAD)0.05952380952
Skewness0.9457593646
Sum82.34471138
Variance0.03873755651
2021-06-04T15:25:30.459048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 721 37.5%
 
-0.1071428571 61 3.2%
 
0.25 42 2.2%
 
0.1071428571 38 2.0%
 
-0.03571428571 37 1.9%
 
-0.07142857143 32 1.7%
 
0.1785714286 32 1.7%
 
0.03571428571 31 1.6%
 
0.07142857143 29 1.5%
 
-0.1428571429 26 1.4%
 
Other values (560) 876 45.5%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8035714286 1 0.1%
 
-0.7678571429 1 0.1%
 
-0.630952381 1 0.1%
 
-0.5785714286 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9642857143 1 0.1%
 
0.9285714286 1 0.1%
 
0.8214285714 3 0.2%
 
0.7857142857 4 0.2%
 

OXYGEN_SATURATION_MEAN
Real number (ℝ)

ZEROS
Distinct count456
Unique (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47827128551992887
Minimum-1.0
Maximum0.9999999999999991
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:30.566043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0.6842105263
Q30.7894736842
95-th percentile0.8947368421
Maximum1
Range2
Interquartile range (IQR)0.7894736842

Descriptive statistics

Standard deviation0.3715298086
Coefficient of variation (CV)0.7768181361
Kurtosis-1.507441243
Mean0.4782712855
Median Absolute Deviation (MAD)0.1578947368
Skewness-0.4567110643
Sum920.6722246
Variance0.1380343987
2021-06-04T15:25:30.676837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
0.7894736842 119 6.2%
 
0.7368421053 115 6.0%
 
0.8421052632 101 5.2%
 
0.6842105263 85 4.4%
 
0.8947368421 73 3.8%
 
0.6315789474 56 2.9%
 
0.5789473684 43 2.2%
 
0.9473684211 29 1.5%
 
0.5263157895 17 0.9%
 
Other values (446) 601 31.2%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.5 1 0.1%
 
-0.2043343653 1 0.1%
 
-0.08771929825 1 0.1%
 
-0.05263157895 1 0.1%
 
ValueCountFrequency (%) 
1 16 0.8%
 
0.9649122807 1 0.1%
 
0.9641148325 1 0.1%
 
0.9473684211 29 1.5%
 
0.9356725146 1 0.1%
 

BLOODPRESSURE_DIASTOLIC_MEDIAN
Real number (ℝ)

ZEROS
Distinct count91
Unique (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06299182299182302
Minimum-1.0
Maximum1.0
Zeros689
Zeros (%)35.8%
Memory size15.2 KiB
2021-06-04T15:25:30.793001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4320987654
Q1-0.1604938272
median0
Q30
95-th percentile0.3086419753
Maximum1
Range2
Interquartile range (IQR)0.1604938272

Descriptive statistics

Standard deviation0.2120605947
Coefficient of variation (CV)-3.366478134
Kurtosis1.691564331
Mean-0.06299182299
Median Absolute Deviation (MAD)0.08641975309
Skewness-0.2073835067
Sum-121.2592593
Variance0.04496969583
2021-06-04T15:25:30.897561image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 689 35.8%
 
0.08641975309 197 10.2%
 
-0.1604938272 189 9.8%
 
-0.4074074074 83 4.3%
 
0.3333333333 54 2.8%
 
-0.2839506173 42 2.2%
 
-0.03703703704 34 1.8%
 
-0.1111111111 33 1.7%
 
0.03703703704 29 1.5%
 
-0.1851851852 28 1.5%
 
Other values (81) 547 28.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9012345679 1 0.1%
 
-0.8765432099 1 0.1%
 
-0.7407407407 1 0.1%
 
-0.7283950617 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9012345679 1 0.1%
 
0.8271604938 1 0.1%
 
0.7777777778 1 0.1%
 
0.7283950617 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MEDIAN
Real number (ℝ)

ZEROS
Distinct count133
Unique (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.21802597402597398
Minimum-1.0
Maximum1.0
Zeros693
Zeros (%)36.0%
Memory size15.2 KiB
2021-06-04T15:25:31.003889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6923076923
Q1-0.4230769231
median-0.1846153846
Q30
95-th percentile0.07692307692
Maximum1
Range2
Interquartile range (IQR)0.4230769231

Descriptive statistics

Standard deviation0.2757257301
Coefficient of variation (CV)-1.264646248
Kurtosis0.08209955183
Mean-0.218025974
Median Absolute Deviation (MAD)0.1846153846
Skewness-0.1830747255
Sum-419.7
Variance0.07602467825
2021-06-04T15:25:31.111755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 693 36.0%
 
-0.3846153846 135 7.0%
 
-0.5384615385 127 6.6%
 
-0.2307692308 88 4.6%
 
-0.07692307692 56 2.9%
 
-0.6923076923 54 2.8%
 
-0.3076923077 31 1.6%
 
-0.3692307692 25 1.3%
 
-0.4461538462 24 1.2%
 
-0.4615384615 24 1.2%
 
Other values (123) 668 34.7%
 
ValueCountFrequency (%) 
-1 4 0.2%
 
-0.9846153846 1 0.1%
 
-0.9538461538 1 0.1%
 
-0.9384615385 1 0.1%
 
-0.8923076923 2 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8923076923 1 0.1%
 
0.8307692308 1 0.1%
 
0.6769230769 1 0.1%
 
0.6461538462 1 0.1%
 

HEART_RATE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count122
Unique (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.17304092134280824
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:31.231595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6018867925
Q1-0.3396226415
median-0.1132075472
Q30
95-th percentile0.09433962264
Maximum1
Range2
Interquartile range (IQR)0.3396226415

Descriptive statistics

Standard deviation0.2401563492
Coefficient of variation (CV)-1.387858706
Kurtosis0.7256575775
Mean-0.1730409213
Median Absolute Deviation (MAD)0.1132075472
Skewness-0.2276863321
Sum-333.1037736
Variance0.05767507208
2021-06-04T15:25:31.338510image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.3018867925 51 2.6%
 
-0.2641509434 50 2.6%
 
-0.4528301887 46 2.4%
 
-0.1886792453 44 2.3%
 
-0.1698113208 40 2.1%
 
-0.3396226415 38 2.0%
 
-0.2830188679 37 1.9%
 
-0.4150943396 37 1.9%
 
-0.4716981132 36 1.9%
 
Other values (112) 861 44.7%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9339622642 1 0.1%
 
-0.8867924528 2 0.1%
 
-0.8490566038 2 0.1%
 
-0.8301886792 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9622641509 1 0.1%
 
0.9056603774 1 0.1%
 
0.7735849057 1 0.1%
 
0.6603773585 1 0.1%
 

RESPIRATORY_RATE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count41
Unique (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2660456784594716
Minimum-1.0
Maximum1.0
Zeros748
Zeros (%)38.9%
Memory size15.2 KiB
2021-06-04T15:25:31.450703image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6551724138
Q1-0.5172413793
median-0.3103448276
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.5172413793

Descriptive statistics

Standard deviation0.2758643069
Coefficient of variation (CV)-1.0369058
Kurtosis-0.3942193438
Mean-0.2660456785
Median Absolute Deviation (MAD)0.275862069
Skewness0.1990903714
Sum-512.137931
Variance0.07610111584
2021-06-04T15:25:31.554951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 748 38.9%
 
-0.5172413793 360 18.7%
 
-0.5862068966 154 8.0%
 
-0.4482758621 140 7.3%
 
-0.3793103448 120 6.2%
 
-0.6551724138 75 3.9%
 
-0.2413793103 63 3.3%
 
-0.3103448276 42 2.2%
 
-0.1034482759 31 1.6%
 
-0.1724137931 30 1.6%
 
Other values (31) 162 8.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9310344828 6 0.3%
 
-0.8620689655 3 0.2%
 
-0.7931034483 14 0.7%
 
-0.724137931 19 1.0%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8620689655 3 0.2%
 
0.724137931 2 0.1%
 
0.5862068966 1 0.1%
 
0.5172413793 1 0.1%
 

TEMPERATURE_MEDIAN
Real number (ℝ)

ZEROS
Distinct count86
Unique (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04079777365491688
Minimum-1.0
Maximum1.0
Zeros758
Zeros (%)39.4%
Memory size15.2 KiB
2021-06-04T15:25:31.671154image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2142857143
Q1-0.03571428571
median0
Q30.1071428571
95-th percentile0.4642857143
Maximum1
Range2
Interquartile range (IQR)0.1428571429

Descriptive statistics

Standard deviation0.2015985394
Coefficient of variation (CV)4.941410312
Kurtosis3.392763796
Mean0.04079777365
Median Absolute Deviation (MAD)0.07142857143
Skewness0.970820877
Sum78.53571429
Variance0.0406419711
2021-06-04T15:25:31.772587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 758 39.4%
 
-0.1071428571 129 6.7%
 
-0.03571428571 83 4.3%
 
0.03571428571 80 4.2%
 
-0.07142857143 75 3.9%
 
0.1071428571 69 3.6%
 
0.1428571429 56 2.9%
 
0.25 56 2.9%
 
0.1785714286 52 2.7%
 
0.07142857143 50 2.6%
 
Other values (76) 517 26.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.8035714286 1 0.1%
 
-0.7857142857 1 0.1%
 
-0.7678571429 1 0.1%
 
-0.6071428571 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9642857143 1 0.1%
 
0.9285714286 1 0.1%
 
0.8928571429 1 0.1%
 
0.8214285714 4 0.2%
 

OXYGEN_SATURATION_MEDIAN
Real number (ℝ)

ZEROS
Distinct count29
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4818181818181814
Minimum-1.0
Maximum0.9999999999999991
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:31.880987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0.6842105263
Q30.7894736842
95-th percentile0.8947368421
Maximum1
Range2
Interquartile range (IQR)0.7894736842

Descriptive statistics

Standard deviation0.3725795677
Coefficient of variation (CV)0.773278348
Kurtosis-1.519848986
Mean0.4818181818
Median Absolute Deviation (MAD)0.1578947368
Skewness-0.4511521433
Sum927.5
Variance0.1388155342
2021-06-04T15:25:31.990162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
0.7368421053 249 12.9%
 
0.7894736842 218 11.3%
 
0.6842105263 189 9.8%
 
0.8421052632 159 8.3%
 
0.8947368421 105 5.5%
 
0.6315789474 105 5.5%
 
0.5789473684 53 2.8%
 
0.9473684211 38 2.0%
 
1 21 1.1%
 
Other values (19) 102 5.3%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.05263157895 1 0.1%
 
0 686 35.6%
 
0.05263157895 2 0.1%
 
0.1578947368 1 0.1%
 
ValueCountFrequency (%) 
1 21 1.1%
 
0.9473684211 38 2.0%
 
0.9210526316 2 0.1%
 
0.8947368421 105 5.5%
 
0.8684210526 7 0.4%
 

BLOODPRESSURE_DIASTOLIC_MIN
Real number (ℝ)

ZEROS
Distinct count85
Unique (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.026316776007497582
Minimum-0.9999999999999999
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:32.102552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3979381443
Q1-0.175257732
median0
Q30.03092783505
95-th percentile0.3402061856
Maximum1
Range2
Interquartile range (IQR)0.206185567

Descriptive statistics

Standard deviation0.2265867544
Coefficient of variation (CV)-8.609973892
Kurtosis2.166463009
Mean-0.02631677601
Median Absolute Deviation (MAD)0.07216494845
Skewness-0.2310928393
Sum-50.65979381
Variance0.05134155725
2021-06-04T15:25:32.207745image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.175257732 177 9.2%
 
0.03092783505 162 8.4%
 
0.2371134021 119 6.2%
 
0.4432989691 41 2.1%
 
-0.381443299 32 1.7%
 
-0.07216494845 31 1.6%
 
-0.2164948454 31 1.6%
 
-0.2577319588 26 1.4%
 
0.1958762887 25 1.3%
 
Other values (75) 596 31.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9793814433 1 0.1%
 
-0.9381443299 1 0.1%
 
-0.8969072165 1 0.1%
 
-0.8556701031 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9175257732 1 0.1%
 
0.8556701031 1 0.1%
 
0.8144329897 1 0.1%
 
0.7731958763 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MIN
Real number (ℝ)

ZEROS
Distinct count127
Unique (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13386363636363632
Minimum-1.0
Maximum1.0
Zeros747
Zeros (%)38.8%
Memory size15.2 KiB
2021-06-04T15:25:32.315876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.55
Q1-0.2875
median0
Q30
95-th percentile0.2225
Maximum1
Range2
Interquartile range (IQR)0.2875

Descriptive statistics

Standard deviation0.2441355251
Coefficient of variation (CV)-1.823762836
Kurtosis1.294896742
Mean-0.1338636364
Median Absolute Deviation (MAD)0.125
Skewness-0.316182899
Sum-257.6875
Variance0.0596021546
2021-06-04T15:25:32.421652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 747 38.8%
 
-0.375 134 7.0%
 
-0.25 126 6.5%
 
-0.125 106 5.5%
 
-0.5 44 2.3%
 
0.125 35 1.8%
 
0.25 21 1.1%
 
-0.0625 21 1.1%
 
-0.325 18 0.9%
 
-0.2375 17 0.9%
 
Other values (117) 656 34.1%
 
ValueCountFrequency (%) 
-1 4 0.2%
 
-0.9875 1 0.1%
 
-0.975 1 0.1%
 
-0.9375 1 0.1%
 
-0.9125 2 0.1%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.9125 1 0.1%
 
0.7375 1 0.1%
 
0.7125 1 0.1%
 
0.675 1 0.1%
 

HEART_RATE_MIN
Real number (ℝ)

ZEROS
Distinct count96
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.17070041070041062
Minimum-0.9999999999999999
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:32.532887image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6205128205
Q1-0.3504273504
median-0.07692307692
Q30
95-th percentile0.1452991453
Maximum1
Range2
Interquartile range (IQR)0.3504273504

Descriptive statistics

Standard deviation0.2529880496
Coefficient of variation (CV)-1.482058822
Kurtosis0.4812312951
Mean-0.1707004107
Median Absolute Deviation (MAD)0.1025641026
Skewness-0.3687465053
Sum-328.5982906
Variance0.06400295323
2021-06-04T15:25:32.632374image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.4871794872 47 2.4%
 
-0.3333333333 43 2.2%
 
-0.3162393162 43 2.2%
 
-0.1794871795 41 2.1%
 
-0.2820512821 37 1.9%
 
-0.4188034188 34 1.8%
 
-0.3504273504 34 1.8%
 
-0.452991453 32 1.7%
 
-0.4017094017 31 1.6%
 
Other values (86) 898 46.6%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9829059829 1 0.1%
 
-0.9658119658 1 0.1%
 
-0.9487179487 1 0.1%
 
-0.9145299145 2 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9145299145 1 0.1%
 
0.6923076923 1 0.1%
 
0.6752136752 1 0.1%
 
0.641025641 1 0.1%
 

RESPIRATORY_RATE_MIN
Real number (ℝ)

ZEROS
Distinct count28
Unique (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.29539888682745824
Minimum-1.0
Maximum0.9999999999999998
Zeros768
Zeros (%)39.9%
Memory size15.2 KiB
2021-06-04T15:25:32.752483image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8571428571
Q1-0.5714285714
median-0.2857142857
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)0.5714285714

Descriptive statistics

Standard deviation0.3206298547
Coefficient of variation (CV)-1.085413212
Kurtosis-0.3382177709
Mean-0.2953988868
Median Absolute Deviation (MAD)0.2857142857
Skewness-0.1797708119
Sum-568.6428571
Variance0.1028035037
2021-06-04T15:25:32.858934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 768 39.9%
 
-0.4285714286 199 10.3%
 
-0.5714285714 177 9.2%
 
-0.5 155 8.1%
 
-0.3571428571 101 5.2%
 
-0.6428571429 95 4.9%
 
-0.2857142857 76 3.9%
 
-0.8571428571 62 3.2%
 
-0.7142857143 56 2.9%
 
-1 41 2.1%
 
Other values (18) 195 10.1%
 
ValueCountFrequency (%) 
-1 41 2.1%
 
-0.9285714286 36 1.9%
 
-0.8571428571 62 3.2%
 
-0.7857142857 28 1.5%
 
-0.7142857143 56 2.9%
 
ValueCountFrequency (%) 
1 3 0.2%
 
0.9285714286 1 0.1%
 
0.8571428571 1 0.1%
 
0.7857142857 1 0.1%
 
0.7142857143 1 0.1%
 

TEMPERATURE_MIN
Real number (ℝ)

ZEROS
Distinct count62
Unique (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20899671756814625
Minimum-1.0
Maximum1.000000000000001
Zeros694
Zeros (%)36.1%
Memory size15.2 KiB
2021-06-04T15:25:32.970775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0.1428571429
Q30.3846153846
95-th percentile0.6263736264
Maximum1
Range2
Interquartile range (IQR)0.3846153846

Descriptive statistics

Standard deviation0.2334943185
Coefficient of variation (CV)1.117215243
Kurtosis0.2026253348
Mean0.2089967176
Median Absolute Deviation (MAD)0.1428571429
Skewness0.532233399
Sum402.3186813
Variance0.05451959679
2021-06-04T15:25:33.074338image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 694 36.1%
 
0.0989010989 99 5.1%
 
0.3186813187 88 4.6%
 
0.5384615385 51 2.6%
 
0.3406593407 49 2.5%
 
0.2087912088 49 2.5%
 
0.3626373626 49 2.5%
 
0.2307692308 49 2.5%
 
0.4505494505 47 2.4%
 
0.4065934066 46 2.4%
 
Other values (52) 704 36.6%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.978021978 1 0.1%
 
-0.3406593407 2 0.1%
 
-0.3186813187 2 0.1%
 
-0.2967032967 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.978021978 1 0.1%
 
0.956043956 1 0.1%
 
0.8901098901 3 0.2%
 
0.8681318681 4 0.2%
 

OXYGEN_SATURATION_MIN
Real number (ℝ)

ZEROS
Distinct count54
Unique (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5262148760330579
Minimum-0.9999999999999999
Maximum1.0
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:33.187559image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0.8181818182
Q30.898989899
95-th percentile0.9595959596
Maximum1
Range2
Interquartile range (IQR)0.898989899

Descriptive statistics

Standard deviation0.452869883
Coefficient of variation (CV)0.8606177887
Kurtosis-0.8057645785
Mean0.526214876
Median Absolute Deviation (MAD)0.1212121212
Skewness-0.6845172382
Sum1012.963636
Variance0.2050911309
2021-06-04T15:25:33.292127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
0.898989899 155 8.1%
 
0.8787878788 153 7.9%
 
0.9191919192 146 7.6%
 
0.8585858586 136 7.1%
 
0.9393939394 112 5.8%
 
0.8383838384 100 5.2%
 
0.9595959596 80 4.2%
 
0.8181818182 68 3.5%
 
0.797979798 63 3.3%
 
Other values (44) 226 11.7%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9595959596 1 0.1%
 
-0.9393939394 2 0.1%
 
-0.9191919192 6 0.3%
 
-0.898989899 1 0.1%
 
ValueCountFrequency (%) 
1 16 0.8%
 
0.9797979798 26 1.4%
 
0.9595959596 80 4.2%
 
0.9393939394 112 5.8%
 
0.9191919192 146 7.6%
 

BLOODPRESSURE_DIASTOLIC_MAX
Real number (ℝ)

ZEROS
Distinct count91
Unique (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.15137751137751132
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:33.399281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5897435897
Q1-0.3162393162
median-0.07692307692
Q30
95-th percentile0.1282051282
Maximum1
Range2
Interquartile range (IQR)0.3162393162

Descriptive statistics

Standard deviation0.2449534113
Coefficient of variation (CV)-1.618162493
Kurtosis1.119197789
Mean-0.1513775114
Median Absolute Deviation (MAD)0.1025641026
Skewness0.003712631744
Sum-291.4017094
Variance0.06000217369
2021-06-04T15:25:33.504187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.2478632479 183 9.5%
 
-0.4188034188 107 5.6%
 
-0.07692307692 103 5.4%
 
-0.5897435897 63 3.3%
 
0.09401709402 34 1.8%
 
-0.5042735043 28 1.5%
 
-0.2820512821 28 1.5%
 
-0.2991452991 27 1.4%
 
-0.3846153846 25 1.3%
 
Other values (81) 642 33.4%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9145299145 1 0.1%
 
-0.811965812 2 0.1%
 
-0.7606837607 3 0.2%
 
-0.7264957265 7 0.4%
 
ValueCountFrequency (%) 
1 2 0.1%
 
0.8461538462 2 0.1%
 
0.7777777778 4 0.2%
 
0.7435897436 1 0.1%
 
0.7264957265 1 0.1%
 

BLOODPRESSURE_SISTOLIC_MAX
Real number (ℝ)

ZEROS
Distinct count136
Unique (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.25739276939276934
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:33.621037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7621621622
Q1-0.5135135135
median-0.2216216216
Q30
95-th percentile0.05945945946
Maximum1
Range2
Interquartile range (IQR)0.5135135135

Descriptive statistics

Standard deviation0.2997917136
Coefficient of variation (CV)-1.16472469
Kurtosis-0.7541135728
Mean-0.2573927694
Median Absolute Deviation (MAD)0.2216216216
Skewness-0.1904700291
Sum-495.4810811
Variance0.08987507156
2021-06-04T15:25:33.731950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-0.5675675676 109 5.7%
 
-0.4594594595 94 4.9%
 
-0.6756756757 81 4.2%
 
-0.3513513514 67 3.5%
 
-0.7837837838 38 2.0%
 
-0.2432432432 36 1.9%
 
-0.1351351351 24 1.2%
 
-0.5567567568 21 1.1%
 
-0.6108108108 19 1.0%
 
Other values (126) 751 39.0%
 
ValueCountFrequency (%) 
-1 2 0.1%
 
-0.9891891892 1 0.1%
 
-0.9351351351 1 0.1%
 
-0.9243243243 1 0.1%
 
-0.9135135135 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.6324324324 1 0.1%
 
0.6216216216 1 0.1%
 
0.5891891892 1 0.1%
 
0.5783783784 1 0.1%
 

HEART_RATE_MAX
Real number (ℝ)

ZEROS
Distinct count110
Unique (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.18167086644698585
Minimum-1.0
Maximum0.9999999999999998
Zeros698
Zeros (%)36.3%
Memory size15.2 KiB
2021-06-04T15:25:33.842105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6417910448
Q1-0.3880597015
median-0.1044776119
Q30
95-th percentile0.1492537313
Maximum1
Range2
Interquartile range (IQR)0.3880597015

Descriptive statistics

Standard deviation0.2734194097
Coefficient of variation (CV)-1.505026178
Kurtosis0.7783303693
Mean-0.1816708664
Median Absolute Deviation (MAD)0.1194029851
Skewness0.09998290841
Sum-349.7164179
Variance0.07475817362
2021-06-04T15:25:33.949641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 698 36.3%
 
-0.4179104478 42 2.2%
 
-0.447761194 39 2.0%
 
-0.2985074627 37 1.9%
 
-0.328358209 35 1.8%
 
-0.3134328358 32 1.7%
 
-0.3582089552 31 1.6%
 
-0.1791044776 30 1.6%
 
-0.3880597015 29 1.5%
 
-0.5671641791 29 1.5%
 
Other values (100) 923 47.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9402985075 1 0.1%
 
-0.9104477612 1 0.1%
 
-0.8805970149 1 0.1%
 
-0.8656716418 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9850746269 1 0.1%
 
0.9402985075 1 0.1%
 
0.8805970149 1 0.1%
 
0.8656716418 1 0.1%
 

RESPIRATORY_RATE_MAX
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.19367178276269187
Minimum-1.0
Maximum1.0
Zeros748
Zeros (%)38.9%
Memory size15.2 KiB
2021-06-04T15:25:34.060541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.696969697
Q1-0.5151515152
median-0.0303030303
Q30
95-th percentile0.3939393939
Maximum1
Range2
Interquartile range (IQR)0.5151515152

Descriptive statistics

Standard deviation0.3506539623
Coefficient of variation (CV)-1.810557828
Kurtosis0.4853766945
Mean-0.1936717828
Median Absolute Deviation (MAD)0.2424242424
Skewness0.5537347094
Sum-372.8181818
Variance0.1229582013
2021-06-04T15:25:34.170857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 748 38.9%
 
-0.5757575758 198 10.3%
 
-0.4545454545 155 8.1%
 
-0.5151515152 136 7.1%
 
-0.6363636364 108 5.6%
 
-0.696969697 64 3.3%
 
-0.3333333333 60 3.1%
 
-0.3939393939 51 2.6%
 
-0.2727272727 43 2.2%
 
-0.2121212121 36 1.9%
 
Other values (25) 326 16.9%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.9393939394 5 0.3%
 
-0.8787878788 3 0.2%
 
-0.8181818182 8 0.4%
 
-0.7575757576 18 0.9%
 
ValueCountFrequency (%) 
1 6 0.3%
 
0.9393939394 7 0.4%
 
0.8787878788 13 0.7%
 
0.8181818182 5 0.3%
 
0.7575757576 12 0.6%
 

TEMPERATURE_MAX
Real number (ℝ)

ZEROS
Distinct count56
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009568981742894967
Minimum-1.0
Maximum1.0
Zeros694
Zeros (%)36.1%
Memory size15.2 KiB
2021-06-04T15:25:34.285127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3333333333
Q1-0.1014492754
median0
Q30.07246376812
95-th percentile0.4202898551
Maximum1
Range2
Interquartile range (IQR)0.1739130435

Descriptive statistics

Standard deviation0.2209249624
Coefficient of variation (CV)23.08761458
Kurtosis1.457480628
Mean0.009568981743
Median Absolute Deviation (MAD)0.07246376812
Skewness0.4849094055
Sum18.42028986
Variance0.04880783902
2021-06-04T15:25:34.386849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 694 36.1%
 
0.01449275362 76 3.9%
 
-0.2753623188 64 3.3%
 
-0.1014492754 63 3.3%
 
-0.2173913043 54 2.8%
 
-0.07246376812 52 2.7%
 
-0.04347826087 50 2.6%
 
-0.1304347826 48 2.5%
 
-0.1594202899 46 2.4%
 
0.3043478261 46 2.4%
 
Other values (46) 732 38.0%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.652173913 1 0.1%
 
-0.6231884058 1 0.1%
 
-0.5942028986 2 0.1%
 
-0.5652173913 11 0.6%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9130434783 1 0.1%
 
0.884057971 2 0.1%
 
0.8550724638 1 0.1%
 
0.768115942 3 0.2%
 

OXYGEN_SATURATION_MAX
Real number (ℝ)

ZEROS
Distinct count21
Unique (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5268762816131233
Minimum-1.0
Maximum0.9999999999999991
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:34.494676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0
Q10
median0.7368421053
Q30.8947368421
95-th percentile1
Maximum1
Range2
Interquartile range (IQR)0.8947368421

Descriptive statistics

Standard deviation0.4082013215
Coefficient of variation (CV)0.7747574445
Kurtosis-1.554613698
Mean0.5268762816
Median Absolute Deviation (MAD)0.2105263158
Skewness-0.4345086467
Sum1014.236842
Variance0.1666283189
2021-06-04T15:25:34.596897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
0.8947368421 217 11.3%
 
0.8421052632 185 9.6%
 
0.7894736842 179 9.3%
 
1 151 7.8%
 
0.7368421053 142 7.4%
 
0.9473684211 132 6.9%
 
0.6842105263 97 5.0%
 
0.6315789474 59 3.1%
 
0.5789473684 43 2.2%
 
Other values (11) 34 1.8%
 
ValueCountFrequency (%) 
-1 1 0.1%
 
-0.05263157895 1 0.1%
 
0 686 35.6%
 
0.05263157895 1 0.1%
 
0.1578947368 1 0.1%
 
ValueCountFrequency (%) 
1 151 7.8%
 
0.9736842105 1 0.1%
 
0.9473684211 132 6.9%
 
0.8947368421 217 11.3%
 
0.8421052632 185 9.6%
 

BLOODPRESSURE_DIASTOLIC_DIFF
Real number (ℝ)

ZEROS
Distinct count91
Unique (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4846979107848673
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:34.712207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.5130434783
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4638667035
Coefficient of variation (CV)-0.9570222879
Kurtosis-1.536310817
Mean-0.4846979108
Median Absolute Deviation (MAD)0.4869565217
Skewness0.1280364881
Sum-933.0434783
Variance0.2151723186
2021-06-04T15:25:34.817360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 624 32.4%
 
-0.652173913 50 2.6%
 
-0.8260869565 40 2.1%
 
-0.4782608696 28 1.5%
 
-0.9826086957 17 0.9%
 
-0.9130434783 17 0.9%
 
-0.9304347826 17 0.9%
 
-0.4434782609 16 0.8%
 
-0.5826086957 14 0.7%
 
Other values (81) 417 21.7%
 
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.9826086957 17 0.9%
 
-0.9652173913 11 0.6%
 
-0.947826087 11 0.6%
 
-0.9304347826 17 0.9%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9130434783 1 0.1%
 
0.8086956522 1 0.1%
 
0.7913043478 2 0.1%
 
0.652173913 1 0.1%
 

BLOODPRESSURE_SISTOLIC_DIFF
Real number (ℝ)

ZEROS
Distinct count129
Unique (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.46897936419408814
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:34.928057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.509202454
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4786619439
Coefficient of variation (CV)-1.020646068
Kurtosis-1.353358206
Mean-0.4689793642
Median Absolute Deviation (MAD)0.490797546
Skewness0.1800036157
Sum-902.7852761
Variance0.2291172566
2021-06-04T15:25:35.033447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 615 31.9%
 
-0.8773006135 35 1.8%
 
-0.754601227 27 1.4%
 
-0.6319018405 25 1.3%
 
-0.509202454 19 1.0%
 
-0.8527607362 14 0.7%
 
-0.2883435583 13 0.7%
 
-0.8895705521 12 0.6%
 
-0.9386503067 12 0.6%
 
Other values (119) 468 24.3%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9877300613 7 0.4%
 
-0.9754601227 9 0.5%
 
-0.963190184 8 0.4%
 
-0.9509202454 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9141104294 2 0.1%
 
0.8895705521 1 0.1%
 
0.8773006135 1 0.1%
 
0.8527607362 1 0.1%
 

HEART_RATE_DIFF
Real number (ℝ)

ZEROS
Distinct count102
Unique (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.48575790621592146
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:35.146512image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.5114503817
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4656663684
Coefficient of variation (CV)-0.9586387837
Kurtosis-1.563896445
Mean-0.4857579062
Median Absolute Deviation (MAD)0.4885496183
Skewness0.1199923637
Sum-935.0839695
Variance0.2168451667
2021-06-04T15:25:35.259148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 615 31.9%
 
-0.9236641221 22 1.1%
 
-0.9847328244 20 1.0%
 
-0.8778625954 19 1.0%
 
-0.9083969466 18 0.9%
 
-0.5419847328 18 0.9%
 
-0.9541984733 18 0.9%
 
-0.9389312977 16 0.8%
 
-0.4809160305 15 0.8%
 
Other values (92) 479 24.9%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9847328244 20 1.0%
 
-0.9694656489 14 0.7%
 
-0.9541984733 18 0.9%
 
-0.9389312977 16 0.8%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.893129771 1 0.1%
 
0.786259542 1 0.1%
 
0.6946564885 1 0.1%
 
0.6641221374 1 0.1%
 

RESPIRATORY_RATE_DIFF
Real number (ℝ)

ZEROS
Distinct count35
Unique (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.43025210084033616
Minimum-1.0
Maximum1.0
Zeros758
Zeros (%)39.4%
Memory size15.2 KiB
2021-06-04T15:25:35.371730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.3529411765
Q30
95-th percentile0.2352941176
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.509671755
Coefficient of variation (CV)-1.184588649
Kurtosis-1.23096784
Mean-0.4302521008
Median Absolute Deviation (MAD)0.3529411765
Skewness0.1973653647
Sum-828.2352941
Variance0.2597652978
2021-06-04T15:25:35.480729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 758 39.4%
 
-1 610 31.7%
 
-0.7647058824 63 3.3%
 
-0.8823529412 55 2.9%
 
-0.9411764706 46 2.4%
 
-0.7058823529 44 2.3%
 
-0.8235294118 44 2.3%
 
-0.6470588235 36 1.9%
 
-0.5882352941 28 1.5%
 
-0.4705882353 15 0.8%
 
Other values (25) 226 11.7%
 
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.9411764706 46 2.4%
 
-0.8823529412 55 2.9%
 
-0.8235294118 44 2.3%
 
-0.7647058824 63 3.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9411764706 4 0.2%
 
0.8823529412 9 0.5%
 
0.8235294118 5 0.3%
 
0.7647058824 8 0.4%
 

TEMPERATURE_DIFF
Real number (ℝ)

ZEROS
Distinct count92
Unique (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4926159554730983
Minimum-1.0
Maximum1.0
Zeros694
Zeros (%)36.1%
Memory size15.2 KiB
2021-06-04T15:25:35.591799image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.5238095238
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4493735496
Coefficient of variation (CV)-0.912218828
Kurtosis-1.700326436
Mean-0.4926159555
Median Absolute Deviation (MAD)0.4761904762
Skewness0.05500582505
Sum-948.2857143
Variance0.201936587
2021-06-04T15:25:35.705932image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 694 36.1%
 
-1 590 30.6%
 
-0.8571428571 27 1.4%
 
-0.9761904762 26 1.4%
 
-0.6428571429 25 1.3%
 
-0.880952381 24 1.2%
 
-0.8333333333 21 1.1%
 
-0.4285714286 20 1.0%
 
-0.9047619048 20 1.0%
 
-0.619047619 18 0.9%
 
Other values (82) 460 23.9%
 
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.9761904762 4 0.2%
 
-0.9761904762 26 1.4%
 
-0.9523809524 15 0.8%
 
-0.9523809524 10 0.5%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8571428571 1 0.1%
 
0.380952381 1 0.1%
 
0.3333333333 2 0.1%
 
0.2857142857 2 0.1%
 

OXYGEN_SATURATION_DIFF
Real number (ℝ)

ZEROS
Distinct count55
Unique (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5710318772136953
Minimum-1.0
Maximum1.0
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:35.823984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.8787878788
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4868948741
Coefficient of variation (CV)-0.8526579575
Kurtosis-1.004421329
Mean-0.5710318772
Median Absolute Deviation (MAD)0.1212121212
Skewness0.6376370591
Sum-1099.236364
Variance0.2370666184
2021-06-04T15:25:35.929988image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
-1 608 31.6%
 
-0.9797979798 75 3.9%
 
-0.9393939394 68 3.5%
 
-0.9595959596 64 3.3%
 
-0.9191919192 52 2.7%
 
-0.8585858586 51 2.6%
 
-0.8787878788 51 2.6%
 
-0.898989899 46 2.4%
 
-0.8383838384 38 2.0%
 
Other values (45) 186 9.7%
 
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.9797979798 75 3.9%
 
-0.9595959596 64 3.3%
 
-0.9393939394 68 3.5%
 
-0.9191919192 52 2.7%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9595959596 1 0.1%
 
0.9393939394 2 0.1%
 
0.9191919192 4 0.2%
 
0.898989899 2 0.1%
 

BLOODPRESSURE_DIASTOLIC_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count424
Unique (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.506948659560503
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:36.037908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.6086956522
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4582141977
Coefficient of variation (CV)-0.9038670663
Kurtosis-1.559785325
Mean-0.5069486596
Median Absolute Deviation (MAD)0.3913043478
Skewness0.2002704118
Sum-975.8761697
Variance0.209960251
2021-06-04T15:25:36.142328image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 624 32.4%
 
-0.701863354 25 1.3%
 
-0.7391304348 14 0.7%
 
-0.6086956522 10 0.5%
 
-0.4782608696 8 0.4%
 
-0.5527950311 8 0.4%
 
-0.5434782609 8 0.4%
 
-0.850931677 7 0.4%
 
-0.884057971 7 0.4%
 
Other values (414) 529 27.5%
 
ValueCountFrequency (%) 
-1 624 32.4%
 
-0.9885332059 1 0.1%
 
-0.9871175523 2 0.1%
 
-0.9869565217 2 0.1%
 
-0.9868744873 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.945467944 1 0.1%
 
0.6956521739 1 0.1%
 
0.6770186335 1 0.1%
 
0.628458498 1 0.1%
 

BLOODPRESSURE_SISTOLIC_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count502
Unique (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.46118348826806627
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:36.258511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.4589137668
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.480277839
Coefficient of variation (CV)-1.041402937
Kurtosis-1.342412354
Mean-0.4611834883
Median Absolute Deviation (MAD)0.4589137668
Skewness0.1548830335
Sum-887.7782149
Variance0.2306668026
2021-06-04T15:25:36.363992image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 615 31.9%
 
-0.6073825503 9 0.5%
 
-0.8572300183 8 0.4%
 
-0.8743624161 7 0.4%
 
-0.3718120805 7 0.4%
 
-0.2147651007 5 0.3%
 
-0.5716900549 5 0.3%
 
-0.8791946309 5 0.3%
 
-0.7144600366 5 0.3%
 
Other values (492) 574 29.8%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9887016561 1 0.1%
 
-0.9869670556 1 0.1%
 
-0.9868579933 1 0.1%
 
-0.9864028589 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.907926119 1 0.1%
 
0.9031964509 1 0.1%
 
0.8701777755 1 0.1%
 
0.8300515836 1 0.1%
 

HEART_RATE_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count531
Unique (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.526790692148444
Minimum-1.0
Maximum1.0
Zeros685
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:36.479947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.631043257
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4476624034
Coefficient of variation (CV)-0.8497917865
Kurtosis-1.700073014
Mean-0.5267906921
Median Absolute Deviation (MAD)0.368956743
Skewness0.1931241342
Sum-1014.072082
Variance0.2004016274
2021-06-04T15:25:36.584155image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 685 35.6%
 
-1 615 31.9%
 
-0.9262086514 5 0.3%
 
-0.8958239784 5 0.3%
 
-0.5572519084 5 0.3%
 
-0.9367502726 4 0.2%
 
-0.631043257 3 0.2%
 
-0.6064461408 3 0.2%
 
-0.4465648855 3 0.2%
 
-0.4687022901 3 0.2%
 
Other values (521) 594 30.9%
 
ValueCountFrequency (%) 
-1 615 31.9%
 
-0.9927418346 1 0.1%
 
-0.9919500347 1 0.1%
 
-0.9917243347 1 0.1%
 
-0.9908711734 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.4447569305 1 0.1%
 
0.337664447 1 0.1%
 
0.2833278017 1 0.1%
 
0.2601291838 1 0.1%
 

RESPIRATORY_RATE_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count201
Unique (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4397067275024993
Minimum-1.0
Maximum0.9999999999999998
Zeros748
Zeros (%)38.9%
Memory size15.2 KiB
2021-06-04T15:25:36.699994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.3906810036
Q30
95-th percentile0.1510906298
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4948186634
Coefficient of variation (CV)-1.125337941
Kurtosis-1.49883505
Mean-0.4397067275
Median Absolute Deviation (MAD)0.3906810036
Skewness0.09285180384
Sum-846.4354504
Variance0.2448455096
2021-06-04T15:25:36.811720image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 748 38.9%
 
-1 610 31.7%
 
-0.7562724014 36 1.9%
 
-0.6953405018 25 1.3%
 
-0.6344086022 22 1.1%
 
-0.8172043011 20 1.0%
 
-0.8781362007 17 0.9%
 
0.09677419355 15 0.8%
 
-0.5734767025 14 0.7%
 
-0.4516129032 10 0.5%
 
Other values (191) 408 21.2%
 
ValueCountFrequency (%) 
-1 610 31.7%
 
-0.9561290323 1 0.1%
 
-0.9533287577 2 0.1%
 
-0.9451612903 5 0.3%
 
-0.9437551696 3 0.2%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8096774194 3 0.2%
 
0.8064516129 1 0.1%
 
0.7894736842 1 0.1%
 
0.7670250896 1 0.1%
 

TEMPERATURE_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count499
Unique (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.49324880934543885
Minimum-1.0
Maximum1.0
Zeros694
Zeros (%)36.1%
Memory size15.2 KiB
2021-06-04T15:25:36.921883image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.5211640212
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4491731959
Coefficient of variation (CV)-0.9106422305
Kurtosis-1.700125925
Mean-0.4932488093
Median Absolute Deviation (MAD)0.4788359788
Skewness0.05660944201
Sum-949.503958
Variance0.20175656
2021-06-04T15:25:37.540331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 694 36.1%
 
-1 590 30.6%
 
-0.6408730159 8 0.4%
 
-0.4253968254 7 0.4%
 
-0.9517140189 6 0.3%
 
-0.8547351525 4 0.2%
 
-0.526425955 4 0.2%
 
-0.1949241235 4 0.2%
 
-0.9764506896 3 0.2%
 
-0.9047619048 3 0.2%
 
Other values (489) 602 31.3%
 
ValueCountFrequency (%) 
-1 590 30.6%
 
-0.9776128633 1 0.1%
 
-0.9773182957 2 0.1%
 
-0.9771378047 1 0.1%
 
-0.9771074432 1 0.1%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.8622872972 1 0.1%
 
0.3771481044 1 0.1%
 
0.3296602388 1 0.1%
 
0.3223744292 1 0.1%
 

OXYGEN_SATURATION_DIFF_REL
Real number (ℝ)

ZEROS
Distinct count188
Unique (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.570893795230343
Minimum-1.0
Maximum1.0
Zeros686
Zeros (%)35.6%
Memory size15.2 KiB
2021-06-04T15:25:37.654072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.8749439713
Q30
95-th percentile0
Maximum1
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4870497872
Coefficient of variation (CV)-0.8531355417
Kurtosis-1.002199547
Mean-0.5708937952
Median Absolute Deviation (MAD)0.1250560287
Skewness0.6375620674
Sum-1098.970556
Variance0.2372174952
2021-06-04T15:25:37.764000image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 686 35.6%
 
-1 608 31.6%
 
-0.8587086272 17 0.9%
 
-0.8788931091 16 0.8%
 
-0.9201030928 15 0.8%
 
-0.9592015793 13 0.7%
 
-0.9802316931 13 0.7%
 
-0.9596310364 13 0.7%
 
-0.9400773196 12 0.6%
 
-0.8385241454 12 0.6%
 
Other values (178) 520 27.0%
 
ValueCountFrequency (%) 
-1 608 31.6%
 
-0.9806310528 2 0.1%
 
-0.9805327333 1 0.1%
 
-0.9804334105 6 0.3%
 
-0.980333069 5 0.3%
 
ValueCountFrequency (%) 
1 1 0.1%
 
0.9583241939 1 0.1%
 
0.9570623871 1 0.1%
 
0.9379249835 1 0.1%
 
0.937710255 1 0.1%
 

tags
Categorical

Distinct count30
Unique (%)1.6%
Missing0
Missing (%)0.0%
Memory size15.2 KiB
None
1415
Motor Neurone Disease
 
103
Lung cancer
 
75
asthma
 
70
Lung cancer, Motor Neurone Disease
 
46
Other values (25)
 
216
ValueCountFrequency (%) 
None 1415 73.5%
 
Motor Neurone Disease 103 5.4%
 
Lung cancer 75 3.9%
 
asthma 70 3.6%
 
Lung cancer, Motor Neurone Disease 46 2.4%
 
Smoker 29 1.5%
 
asthma, Motor Neurone Disease 20 1.0%
 
heart disease 19 1.0%
 
Lung cancer, asthma, Motor Neurone Disease 16 0.8%
 
Lung cancer, asthma 15 0.8%
 
Other values (20) 117 6.1%
 

Sample

First rows

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1160th00.00.01.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.00.00.00.00.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.333333-0.230769-0.132075-0.5932200.5357140.5789470.333333-0.230769-0.132075-0.5862070.5357140.5789470.4432990.0000-0.025641-0.5000000.7142860.838384-0.076923-0.459459-0.313433-0.6363640.2463770.578947-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000-1.000000Motor Neurone Disease, Smoker
2160th00.00.01.00.6052630.6052630.6052630.605263-1.0-1.000000-1.000000-1.000000-1.000000-1.0-1.000000-1.000000-1.000000-1.000000-1.0-0.317073-0.317073-0.317073-0.317073-1.0-0.317073-0.317073-0.317073-0.317073-1.0-0.938950-0.938950-0.938950-0.938950-1.0-1.0-1.0-1.0-1.0-1.00.1836730.1836730.1836730.183673-1.0-0.868365-0.868365-0.868365-0.868365-1.0-0.742004-0.742004-0.742004-0.742004-1.0-0.945093-0.945093-0.945093-0.945093-1.0-0.891993-0.891993-0.891993-0.891993-1.00.0901470.0901470.0901470.090147-1.00.1097560.1097560.1097560.109756-1.0-0.932246-0.932246-0.932246-0.932246-1.01.0000001.0000001.0000001.000000-1.0-0.835844-0.835844-0.835844-0.835844-1.0-0.914938-0.914938-0.914938-0.914938-1.0-0.868747-0.868747-0.868747-0.868747-1.0-0.170732-0.170732-0.170732-0.170732-1.0-0.704142-0.704142-0.704142-0.704142-1.0-0.779310-0.779310-0.779310-0.779310-1.0-0.754601-0.754601-0.754601-0.754601-1.0-0.875236-0.875236-0.875236-0.875236-1.00.2340430.2340430.2340430.234043-1.00.3636360.3636360.3636360.363636-1.0-0.540721-0.540721-0.540721-0.540721-1.0-0.518519-0.518519-0.518519-0.518519-1.00.9393940.9393940.9393940.939394-1.00.3456790.3456790.3456790.345679-1.0-0.028571-0.028571-0.028571-0.028571-1.0-0.997201-0.997201-0.997201-0.997201-1.0-0.990854-0.990854-0.990854-0.990854-1.0-0.825613-0.825613-0.825613-0.825613-1.0-0.836145-0.836145-0.836145-0.836145-1.0-0.994912-0.994912-0.994912-0.994912-1.00.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.00000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000Motor Neurone Disease, Smoker
3160th00.00.01.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.00.00.00.00.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.0000000.00.0000000.0000000.0000000.000000-0.1071430.7368420.0000000.0000000.0000000.000000-0.1071430.7368420.0000000.00000.0000000.0000000.3186810.8989900.0000000.0000000.0000000.000000-0.2753620.7368420.0000000.0000000.0000000.000000-1.000000-1.0000000.0000000.0000000.0000000.000000-1.000000-1.000000Motor Neurone Disease, Smoker
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Duplicate rows

Most frequent

AGE_ABOVE65AGE_PERCENTILGENDERHTNIMMUNOCOMPROMISEDOTHERALBUMIN_MEDIANALBUMIN_MEANALBUMIN_MINALBUMIN_MAXALBUMIN_DIFFBE_ARTERIAL_MEDIANBE_ARTERIAL_MEANBE_ARTERIAL_MINBE_ARTERIAL_MAXBE_ARTERIAL_DIFFBE_VENOUS_MEDIANBE_VENOUS_MEANBE_VENOUS_MINBE_VENOUS_MAXBE_VENOUS_DIFFBIC_ARTERIAL_MEDIANBIC_ARTERIAL_MEANBIC_ARTERIAL_MINBIC_ARTERIAL_MAXBIC_ARTERIAL_DIFFBIC_VENOUS_MEDIANBIC_VENOUS_MEANBIC_VENOUS_MINBIC_VENOUS_MAXBIC_VENOUS_DIFFBILLIRUBIN_MEDIANBILLIRUBIN_MEANBILLIRUBIN_MINBILLIRUBIN_MAXBILLIRUBIN_DIFFBLAST_MEDIANBLAST_MEANBLAST_MINBLAST_MAXBLAST_DIFFCALCIUM_MEDIANCALCIUM_MEANCALCIUM_MINCALCIUM_MAXCALCIUM_DIFFCREATININ_MEDIANCREATININ_MEANCREATININ_MINCREATININ_MAXCREATININ_DIFFFFA_MEDIANFFA_MEANFFA_MINFFA_MAXFFA_DIFFGGT_MEDIANGGT_MEANGGT_MINGGT_MAXGGT_DIFFGLUCOSE_MEDIANGLUCOSE_MEANGLUCOSE_MINGLUCOSE_MAXGLUCOSE_DIFFHEMATOCRITE_MEDIANHEMATOCRITE_MEANHEMATOCRITE_MINHEMATOCRITE_MAXHEMATOCRITE_DIFFHEMOGLOBIN_MEDIANHEMOGLOBIN_MEANHEMOGLOBIN_MINHEMOGLOBIN_MAXHEMOGLOBIN_DIFFINR_MEDIANINR_MEANINR_MININR_MAXINR_DIFFLACTATE_MEDIANLACTATE_MEANLACTATE_MINLACTATE_MAXLACTATE_DIFFLEUKOCYTES_MEDIANLEUKOCYTES_MEANLEUKOCYTES_MINLEUKOCYTES_MAXLEUKOCYTES_DIFFLINFOCITOS_MEDIANLINFOCITOS_MEANLINFOCITOS_MINLINFOCITOS_MAXLINFOCITOS_DIFFNEUTROPHILES_MEDIANNEUTROPHILES_MEANNEUTROPHILES_MINNEUTROPHILES_MAXNEUTROPHILES_DIFFP02_ARTERIAL_MEDIANP02_ARTERIAL_MEANP02_ARTERIAL_MINP02_ARTERIAL_MAXP02_ARTERIAL_DIFFP02_VENOUS_MEDIANP02_VENOUS_MEANP02_VENOUS_MINP02_VENOUS_MAXP02_VENOUS_DIFFPC02_ARTERIAL_MEDIANPC02_ARTERIAL_MEANPC02_ARTERIAL_MINPC02_ARTERIAL_MAXPC02_ARTERIAL_DIFFPC02_VENOUS_MEDIANPC02_VENOUS_MEANPC02_VENOUS_MINPC02_VENOUS_MAXPC02_VENOUS_DIFFPCR_MEDIANPCR_MEANPCR_MINPCR_MAXPCR_DIFFPH_ARTERIAL_MEDIANPH_ARTERIAL_MEANPH_ARTERIAL_MINPH_ARTERIAL_MAXPH_ARTERIAL_DIFFPH_VENOUS_MEDIANPH_VENOUS_MEANPH_VENOUS_MINPH_VENOUS_MAXPH_VENOUS_DIFFPLATELETS_MEDIANPLATELETS_MEANPLATELETS_MINPLATELETS_MAXPLATELETS_DIFFPOTASSIUM_MEDIANPOTASSIUM_MEANPOTASSIUM_MINPOTASSIUM_MAXPOTASSIUM_DIFFSAT02_ARTERIAL_MEDIANSAT02_ARTERIAL_MEANSAT02_ARTERIAL_MINSAT02_ARTERIAL_MAXSAT02_ARTERIAL_DIFFSAT02_VENOUS_MEDIANSAT02_VENOUS_MEANSAT02_VENOUS_MINSAT02_VENOUS_MAXSAT02_VENOUS_DIFFSODIUM_MEDIANSODIUM_MEANSODIUM_MINSODIUM_MAXSODIUM_DIFFTGO_MEDIANTGO_MEANTGO_MINTGO_MAXTGO_DIFFTGP_MEDIANTGP_MEANTGP_MINTGP_MAXTGP_DIFFTTPA_MEDIANTTPA_MEANTTPA_MINTTPA_MAXTTPA_DIFFUREA_MEDIANUREA_MEANUREA_MINUREA_MAXUREA_DIFFDIMER_MEDIANDIMER_MEANDIMER_MINDIMER_MAXDIMER_DIFFBLOODPRESSURE_DIASTOLIC_MEANBLOODPRESSURE_SISTOLIC_MEANHEART_RATE_MEANRESPIRATORY_RATE_MEANTEMPERATURE_MEANOXYGEN_SATURATION_MEANBLOODPRESSURE_DIASTOLIC_MEDIANBLOODPRESSURE_SISTOLIC_MEDIANHEART_RATE_MEDIANRESPIRATORY_RATE_MEDIANTEMPERATURE_MEDIANOXYGEN_SATURATION_MEDIANBLOODPRESSURE_DIASTOLIC_MINBLOODPRESSURE_SISTOLIC_MINHEART_RATE_MINRESPIRATORY_RATE_MINTEMPERATURE_MINOXYGEN_SATURATION_MINBLOODPRESSURE_DIASTOLIC_MAXBLOODPRESSURE_SISTOLIC_MAXHEART_RATE_MAXRESPIRATORY_RATE_MAXTEMPERATURE_MAXOXYGEN_SATURATION_MAXBLOODPRESSURE_DIASTOLIC_DIFFBLOODPRESSURE_SISTOLIC_DIFFHEART_RATE_DIFFRESPIRATORY_RATE_DIFFTEMPERATURE_DIFFOXYGEN_SATURATION_DIFFBLOODPRESSURE_DIASTOLIC_DIFF_RELBLOODPRESSURE_SISTOLIC_DIFF_RELHEART_RATE_DIFF_RELRESPIRATORY_RATE_DIFF_RELTEMPERATURE_DIFF_RELOXYGEN_SATURATION_DIFF_RELtagscount
2010th00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0None23
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7020th00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0None16
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35160th00.00.01.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0None8
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